{"id":"W6905950980","doi":"10.15468/dl.xawdx6","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; Data access","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":[0.001105757,0.001958594,0.00173793,0.005137154,0.0009987439,0.002761568,0.002834411,0.002158112,0.1625432],"category_scores_gemma":[0.006475986,0.0009674937,0.001176203,0.009837038,0.0004528066,0.002335547,0.002603357,0.002078944,0.2180464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594381,"about_ca_system_score_gemma":0.002371584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01941197,"about_ca_topic_score_gemma":0.03108392,"domain_scores_codex":[0.998874,0.000158322,0.0001467253,0.0003960036,0.0002442325,0.0001807687],"domain_scores_gemma":[0.9973322,0.000786663,0.0002640018,0.0006853373,0.0006220136,0.0003096465],"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":[0.00003182029,0.00001149149,0.0003767763,0.0006282813,0.00001645193,0.00001510299,0.00002331546,0.000123186,0.0001227257,0.0003914304,0.9969419,0.001317607],"study_design_scores_gemma":[0.00008694082,0.00000834629,0.001908325,0.0002126359,0.00001551012,0.0000366962,0.00006995265,0.0001398507,0.0001846323,0.0008095438,0.9965089,0.00001868227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003549278,0.00002595457,0.00003963534,0.00003233273,0.0000102833,0.000004872763,0.9989919,0.0003168739,0.0005426782],"genre_scores_gemma":[0.0001620014,0.0000348433,0.0001882796,0.00004655839,0.000003548922,0.00004414771,0.9989323,0.0001460549,0.000442186],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8374568,"threshold_uncertainty_score":0.543761,"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."}}