{"id":"W3097045445","doi":"10.1371/journal.pbio.3000935","title":"Expanding conservation culturomics and iEcology from terrestrial to aquatic realms","year":2020,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Animal and Plant Science Education","field":"Psychology","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"European Social Fund; European Regional Development Fund; Helsingin Yliopisto; Fundação para a Ciência e a Tecnologia; Social Sciences and Humanities Research Council of Canada; HELSUS Kestävyystieteen Instituutti; Bundesministerium für Bildung und Forschung; Technology Agency of the Czech Republic; Ministerio de Ciencia, Innovación y Universidades; Grantová Agentura České Republiky; Norges Forskningsråd; Akademie Věd České Republiky; Austrian Science Fund","keywords":"Realm; Threatened species; Context (archaeology); Identification (biology); Environmental resource management; Big data; Biology; Data science; Environmental planning; Ecology; Geography; Computer science; Habitat; Archaeology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007616275,0.00007968702,0.0001515082,0.00003315191,0.0000635187,0.0000127197,0.0001088025,0.0001233619,0.0004347088],"category_scores_gemma":[0.0002553325,0.0000667336,0.00001419464,0.0001072806,0.00006555868,0.00003865134,0.00003309086,0.00008923733,0.0004327763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001217488,"about_ca_system_score_gemma":0.00002322431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006648659,"about_ca_topic_score_gemma":0.00009186758,"domain_scores_codex":[0.9991972,0.0001188016,0.0001641962,0.0003146188,0.00003088254,0.0001742389],"domain_scores_gemma":[0.9994467,0.0002907113,0.00006435924,0.00007530137,0.000008672323,0.0001142185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008238112,0.0001407104,0.5436272,0.000006303661,0.00009350624,0.00001113796,0.0264105,0.000001649673,0.381271,0.006669753,0.03445878,0.006485643],"study_design_scores_gemma":[0.003949572,0.005287711,0.8620437,0.00004766704,0.0002134948,0.00005041028,0.01196104,0.004315132,0.006428292,0.01713318,0.08734957,0.001220191],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835493,0.00003474074,0.0005369468,0.01366708,0.0007534792,0.0001816698,0.00003328294,0.00003752264,0.001205998],"genre_scores_gemma":[0.9936042,0.000009759119,0.0006435238,0.004965866,0.0005498633,0.00002467678,0.0001227654,0.00000457855,0.00007471247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3748427,"threshold_uncertainty_score":0.5562608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1178620381282974,"score_gpt":0.3404951002402095,"score_spread":0.2226330621119121,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}