{"id":"W6949778386","doi":"10.5281/zenodo.5073960","title":"Orchesella cincta","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nearctic ecozone; Identification (biology); Statistical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000145933,0.0005236387,0.0001930787,0.001038051,0.001220653,0.0004113366,0.0004314182,0.0002692575,0.01275415],"category_scores_gemma":[0.0003723698,0.0001987417,0.0002370035,0.0006278167,0.0003043677,0.0005566937,0.0009465835,0.0002425157,0.003536518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007136831,"about_ca_system_score_gemma":0.0002651646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02030003,"about_ca_topic_score_gemma":0.03668386,"domain_scores_codex":[0.9998567,0.000009845547,0.00001595434,0.00005999314,0.00003519037,0.00002229471],"domain_scores_gemma":[0.9998199,0.00001529093,0.0000732042,0.00002334509,0.00003629217,0.000032095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005576187,0.0001727176,0.1775342,0.002153191,0.0002931638,0.00181705,0.002151699,0.001449649,0.03764248,0.009382929,0.0486165,0.7182289],"study_design_scores_gemma":[0.00003019732,0.0001425782,0.4707299,0.0003253245,0.00009913281,0.003443302,0.0007211371,0.000299316,0.001481192,0.0008986421,0.5217958,0.00003339014],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.4772505,0.01442695,0.006190355,0.0004610974,0.00074385,0.0003770513,0.01085992,0.00131877,0.4883716],"genre_scores_gemma":[0.9441079,0.003777722,0.003815345,0.0005692816,0.0001549426,0.00009573944,0.004728949,0.00008345766,0.0426666],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02030003,"threshold_uncertainty_score":0.04266685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01791019757147954,"score_gpt":0.195197407614169,"score_spread":0.1772872100426895,"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."}}