{"id":"W6943502678","doi":"10.15468/dl.n8hzr5","title":"Occurrence Download","year":2020,"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); Ornithology; Data collection","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":[0.0010237,0.001909881,0.001493252,0.005787713,0.0008146181,0.002320084,0.002604716,0.001756027,0.1899407],"category_scores_gemma":[0.005702062,0.0009410204,0.001122297,0.01072169,0.0004261809,0.002270199,0.002651343,0.001755844,0.2559039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00158366,"about_ca_system_score_gemma":0.002365695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02435284,"about_ca_topic_score_gemma":0.03933728,"domain_scores_codex":[0.9989707,0.0001304898,0.0001356983,0.00033997,0.000252007,0.0001711377],"domain_scores_gemma":[0.9973146,0.0006705145,0.0002602314,0.0007070754,0.0007053243,0.0003421132],"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":[0.00002813486,0.000009065815,0.0003207789,0.0005022731,0.00001347691,0.00001248067,0.00001986538,0.0001074307,0.0001131708,0.000329943,0.9970645,0.00147887],"study_design_scores_gemma":[0.000056249,0.000006978355,0.001907333,0.000165431,0.00001207463,0.0000286041,0.00005824362,0.0001014366,0.0001683343,0.0005835065,0.9968964,0.0000154321],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003111623,0.00001927066,0.00003126215,0.0000249237,0.000008522376,0.000004100772,0.9990239,0.0002794155,0.0005774155],"genre_scores_gemma":[0.0001252656,0.00002838478,0.0001537439,0.00003313641,0.000002992978,0.00003111352,0.9989855,0.000130666,0.0005091886],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8100593,"threshold_uncertainty_score":0.6354148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}