{"id":"W6961850937","doi":"10.15468/dl.kyzv5c","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); Set (abstract data type); The Internet","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":[0.001101397,0.00198455,0.001641369,0.005021995,0.001106037,0.002700646,0.002933156,0.00213123,0.1748364],"category_scores_gemma":[0.006395134,0.0009914903,0.001162383,0.009789702,0.0004802599,0.002519952,0.002748643,0.00220062,0.2379875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001700224,"about_ca_system_score_gemma":0.002499518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02329771,"about_ca_topic_score_gemma":0.04000028,"domain_scores_codex":[0.9988567,0.0001564076,0.0001461082,0.0004003949,0.0002586354,0.0001818441],"domain_scores_gemma":[0.9971803,0.0007809908,0.0002584538,0.000754437,0.0007117488,0.0003141211],"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":[0.00002504287,0.00001039586,0.0003101249,0.0004615736,0.00001273265,0.00001322466,0.00002365389,0.0001022857,0.00009857181,0.0003847518,0.9973823,0.001175336],"study_design_scores_gemma":[0.00006467081,0.000006594586,0.001565074,0.0001697775,0.00001247279,0.00003285284,0.00006928677,0.0001222971,0.0001619634,0.0007613521,0.9970163,0.00001728626],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003320138,0.00002151273,0.00004552482,0.00003431177,0.00001148974,0.000005022061,0.9988236,0.0003607736,0.0006646346],"genre_scores_gemma":[0.0001389004,0.00002864759,0.0002046446,0.00004384827,0.000003236958,0.0000420433,0.9988911,0.0001712042,0.0004763897],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8251636,"threshold_uncertainty_score":0.584886,"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."}}