{"id":"W4394319353","doi":"10.6084/m9.figshare.21478740","title":"Dataset - Figure 2.A and supplementary material 3","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001664469,0.001463414,0.001342126,0.003522136,0.0008705088,0.002348716,0.002355421,0.002011621,0.2088435],"category_scores_gemma":[0.01523152,0.0006086967,0.001458922,0.006829522,0.0004177395,0.001297069,0.001739394,0.001708981,0.1161315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001423558,"about_ca_system_score_gemma":0.002748956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02416795,"about_ca_topic_score_gemma":0.05232665,"domain_scores_codex":[0.9986845,0.0002838788,0.0002026124,0.0004543716,0.0002218145,0.000152897],"domain_scores_gemma":[0.9947557,0.002704037,0.0004236859,0.0007526076,0.001056058,0.0003078309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006278601,0.00001989579,0.001467343,0.001468693,0.00006343112,0.00001821844,0.00002689924,0.0003989926,0.0000627121,0.0004840688,0.9936726,0.002254376],"study_design_scores_gemma":[0.0003300603,0.0000221675,0.006249593,0.0007268318,0.00008602194,0.00006272408,0.0001005051,0.000360446,0.0001502212,0.002323684,0.9895563,0.00003134205],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000512243,0.00003621503,0.00004408993,0.00003514067,0.000010405,0.000009502083,0.9994573,0.00008786647,0.0002683409],"genre_scores_gemma":[0.0004095525,0.00004938618,0.000412315,0.00006889799,0.000006895087,0.0001869859,0.9981938,0.00007224056,0.000599833],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7911565,"threshold_uncertainty_score":0.6986512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03771664027301627,"score_gpt":0.270938442054584,"score_spread":0.2332218017815677,"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."}}