{"id":"W6905811538","doi":"10.15468/dl.wpgwck","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; Order (exchange)","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":[0.0009098016,0.001930034,0.001509196,0.004436477,0.00104978,0.002269777,0.002855374,0.002111414,0.1280205],"category_scores_gemma":[0.005128354,0.0008615872,0.00118521,0.008704827,0.0004535053,0.002157402,0.002458321,0.002015565,0.1933483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00147694,"about_ca_system_score_gemma":0.00217189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02032907,"about_ca_topic_score_gemma":0.03718325,"domain_scores_codex":[0.9990411,0.000126537,0.0001205123,0.0003252414,0.0002269351,0.0001596918],"domain_scores_gemma":[0.9978645,0.0005521464,0.0001927979,0.0006065776,0.0005347674,0.0002490595],"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":[0.00003125243,0.00001484635,0.0004586908,0.0004929931,0.00001561243,0.00001764957,0.00002579576,0.0001594236,0.000159334,0.0003724522,0.9965943,0.001657652],"study_design_scores_gemma":[0.00007334443,0.00001000192,0.002258858,0.0001852321,0.00001506911,0.00004667358,0.00008856659,0.0001982372,0.000242698,0.0007513041,0.9961107,0.00001932095],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006309363,0.00003113969,0.00005256098,0.00003790359,0.00001441439,0.000005950486,0.9987078,0.0004021956,0.0006850634],"genre_scores_gemma":[0.000170363,0.00002856913,0.000212331,0.00003632479,0.000003158624,0.00003769102,0.9989876,0.0001105255,0.0004133749],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8719795,"threshold_uncertainty_score":0.4282714,"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."}}