{"id":"W6943355061","doi":"10.15468/dl.uvqewj","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":[0.0009727922,0.002038459,0.001657084,0.005170926,0.0009615316,0.002561888,0.002759018,0.00204598,0.158112],"category_scores_gemma":[0.005733708,0.000919417,0.001153239,0.01036869,0.0004367118,0.002300061,0.002558608,0.001945511,0.2198963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001495246,"about_ca_system_score_gemma":0.002269443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01978269,"about_ca_topic_score_gemma":0.03336617,"domain_scores_codex":[0.9989405,0.0001406943,0.0001350038,0.0003734398,0.0002376155,0.000172721],"domain_scores_gemma":[0.9976234,0.0006661368,0.0002300601,0.000624341,0.0005710706,0.0002851121],"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":[0.00003061982,0.00001108433,0.0003889851,0.0005857355,0.0000165806,0.00001556385,0.00002514352,0.0001330738,0.0001273369,0.000392867,0.9967909,0.001481981],"study_design_scores_gemma":[0.00007351257,0.000008296002,0.001935798,0.0001993514,0.00001527675,0.00003936548,0.00007236395,0.0001461731,0.0001918168,0.0008048088,0.9964946,0.0000186078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003935672,0.00002656113,0.0000430929,0.00003047119,0.00001038379,0.000004711602,0.9988824,0.0003644799,0.0005985844],"genre_scores_gemma":[0.0001473673,0.00003065573,0.0001823629,0.00003966715,0.000003019224,0.00003574085,0.999018,0.00013845,0.0004048199],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.841888,"threshold_uncertainty_score":0.5289372,"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."}}