{"id":"W6943310141","doi":"10.15468/dl.tjc9m4","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","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":[0.001062013,0.001953889,0.001635558,0.005176102,0.001073383,0.002770623,0.002863566,0.002057062,0.1770683],"category_scores_gemma":[0.006443601,0.0009495111,0.001171964,0.01008559,0.0004557376,0.002763736,0.002747848,0.002153316,0.2450861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001637079,"about_ca_system_score_gemma":0.002396156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02011901,"about_ca_topic_score_gemma":0.03557387,"domain_scores_codex":[0.9988269,0.0001724228,0.000145759,0.0004217266,0.0002473254,0.0001858531],"domain_scores_gemma":[0.9971739,0.0008108585,0.0002483569,0.0007621939,0.0006876982,0.0003169897],"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":[0.00002482579,0.000009930814,0.0002994038,0.0004780514,0.00001216032,0.00001234962,0.00002099566,0.0001024249,0.00008803489,0.0003700078,0.9973816,0.001200061],"study_design_scores_gemma":[0.0000620482,0.000007131349,0.001406025,0.0001801336,0.00001200674,0.00003041257,0.00006621287,0.0001264759,0.0001425646,0.0008199199,0.997131,0.00001608531],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003527004,0.00002684798,0.00004537998,0.00003856608,0.00001247995,0.000005357177,0.9987583,0.000362381,0.0007154431],"genre_scores_gemma":[0.0001426444,0.00003529723,0.0002003563,0.00005108548,0.000003789851,0.0000425094,0.9988098,0.0001677249,0.0005467412],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8229317,"threshold_uncertainty_score":0.5923524,"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."}}