{"id":"W6924866196","doi":"10.15468/dl.yf2ct8","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":"Download; Matching (statistics); Range (aeronautics); Data set; Set (abstract data type)","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":[0.001094627,0.001944296,0.001603939,0.00524793,0.001039935,0.002648412,0.002863689,0.00202171,0.1729905],"category_scores_gemma":[0.006344672,0.0009534059,0.001123543,0.01020139,0.0004526074,0.002340012,0.002626991,0.00201345,0.2247699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001682072,"about_ca_system_score_gemma":0.002428854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02371038,"about_ca_topic_score_gemma":0.03770263,"domain_scores_codex":[0.9989285,0.0001430217,0.0001374875,0.0003659778,0.0002493409,0.0001755849],"domain_scores_gemma":[0.9974366,0.000736973,0.0002440216,0.0006533377,0.0006344165,0.0002946315],"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":[0.0000278265,0.00001089105,0.0003639371,0.000513376,0.00001419992,0.00001533185,0.00002556403,0.0001153522,0.0001127785,0.0003923023,0.9970342,0.001374302],"study_design_scores_gemma":[0.0000669361,0.000007218572,0.001858211,0.0001906112,0.00001380766,0.00003699225,0.00007695163,0.00013541,0.0001825339,0.0007278984,0.9966853,0.00001801554],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003759159,0.00002296173,0.00004521314,0.00003260033,0.00001075708,0.000004828184,0.9988344,0.0003625852,0.0006490681],"genre_scores_gemma":[0.0001554364,0.00002971851,0.0001915673,0.00003972542,0.000003100191,0.00004111649,0.9989219,0.0001615321,0.0004558993],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8270094,"threshold_uncertainty_score":0.578711,"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."}}