{"id":"W6924613363","doi":"10.15468/dl.wcjvm7","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); State (computer science); Identification (biology)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009395024,0.00209491,0.001560108,0.004898293,0.0009543815,0.002490483,0.002823661,0.00195273,0.1644492],"category_scores_gemma":[0.005844531,0.0009541711,0.001180691,0.009776982,0.0004438772,0.00232998,0.002563224,0.001951423,0.2246888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001493769,"about_ca_system_score_gemma":0.002202618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.019213,"about_ca_topic_score_gemma":0.03237375,"domain_scores_codex":[0.998938,0.0001463254,0.0001326458,0.0003893476,0.0002231051,0.0001705291],"domain_scores_gemma":[0.9975725,0.000687796,0.000231305,0.0006434152,0.0005866349,0.0002783429],"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":[0.00003038711,0.00001101008,0.000355914,0.00047333,0.00001377912,0.00001337833,0.0000200323,0.0001210306,0.0001077381,0.0003564146,0.9971243,0.00137269],"study_design_scores_gemma":[0.00007610176,0.000009343984,0.001786414,0.0001694991,0.00001424084,0.00003760454,0.00006396693,0.0001524782,0.0001915359,0.000857408,0.9966224,0.00001899574],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000434499,0.0000255327,0.00004437072,0.00003243211,0.00001209256,0.000004750331,0.9988081,0.0003776894,0.0006514934],"genre_scores_gemma":[0.0001507849,0.00003131884,0.0001963504,0.00004457562,0.000003468639,0.00004008266,0.9988872,0.0001566468,0.0004896419],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8355508,"threshold_uncertainty_score":0.5501374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}