{"id":"W6924209721","doi":"10.15468/dl.q2u7e4","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; Alien; Range (aeronautics)","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":[0.0009252179,0.001984659,0.001523456,0.004763977,0.0009647392,0.00246028,0.002601633,0.001944414,0.1527311],"category_scores_gemma":[0.005935071,0.0008791244,0.001214328,0.009540722,0.0004318097,0.002178844,0.002468874,0.001790442,0.208794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001452286,"about_ca_system_score_gemma":0.002231374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0197098,"about_ca_topic_score_gemma":0.03125015,"domain_scores_codex":[0.9989518,0.000143224,0.0001363144,0.0003802806,0.000213278,0.0001750802],"domain_scores_gemma":[0.997623,0.0006806594,0.0002284725,0.0006020132,0.0006003267,0.0002654503],"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":[0.00003558502,0.00001241767,0.0004497119,0.0005677617,0.00001494526,0.00001538917,0.00002103182,0.0001420029,0.000127214,0.0003575646,0.9966981,0.001558243],"study_design_scores_gemma":[0.00008313233,0.00001147811,0.002082839,0.0002036415,0.00001590693,0.00003875038,0.00007158122,0.0001764797,0.0002012611,0.0008005539,0.9962952,0.00001928424],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004741689,0.00002647686,0.00003871505,0.00003341803,0.00001253257,0.000004934755,0.998912,0.0003474221,0.0005771334],"genre_scores_gemma":[0.0001649362,0.0000332258,0.0001852456,0.00004465829,0.000003687364,0.00003942543,0.9989614,0.0001278981,0.000439435],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8472689,"threshold_uncertainty_score":0.5109364,"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."}}