{"id":"W3125858000","doi":"10.1017/s0376892920000521","title":"Specimens of opportunity provide vital information for research and conservation regarding elusive whale species","year":2021,"lang":"en","type":"article","venue":"Environmental Conservation","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Northeast Fisheries Science Center; Instituto Español de Oceanografía; Fisheries and Oceans Canada; Universitetet i Oslo; Harvard University; University of Oxford; Government of the United Kingdom; La Rochelle Université; Naturalis Biodiversity Center; Lunds Universitet","keywords":"Snowball sampling; Biology; Sampling (signal processing); Ecology; Geography; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005177382,0.0001260681,0.0001832494,0.0000423173,0.00028944,0.00004463564,0.00009348826,0.00006190386,0.001094117],"category_scores_gemma":[0.0003643796,0.0001357946,0.00004292526,0.0001837982,0.0003837924,0.0009962473,0.0004728115,0.0001148015,0.00005274759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003135384,"about_ca_system_score_gemma":0.00002753904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002745647,"about_ca_topic_score_gemma":0.0002542448,"domain_scores_codex":[0.9986203,0.00008819973,0.0003755176,0.0002428291,0.0004433908,0.0002298074],"domain_scores_gemma":[0.9992584,0.0002420386,0.000186666,0.000195223,0.00003569308,0.00008196957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002073937,0.0003318503,0.8498797,0.0002181574,0.00006411174,0.000007917577,0.001455543,0.00001602844,0.1081466,0.004423635,0.02425789,0.01099119],"study_design_scores_gemma":[0.0006802752,0.000234272,0.8019262,0.00002820161,0.0000209324,0.00001119757,0.002237844,0.0005187962,0.01986465,0.001149255,0.1731566,0.0001717103],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889807,0.0000910708,0.000338623,0.002526638,0.00005355008,0.0006474469,0.00009426723,0.00001536722,0.007252397],"genre_scores_gemma":[0.9947563,0.0003151966,0.002052423,0.0008412691,0.0000374135,0.00007493157,0.0003263175,0.00001179983,0.001584294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1488988,"threshold_uncertainty_score":0.999819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08592387793412307,"score_gpt":0.2903706271687642,"score_spread":0.2044467492346412,"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."}}