{"id":"W6905946852","doi":"10.15468/dl.yswtkw","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); Duplex (building)","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":[0.001008399,0.001897876,0.001590937,0.005330119,0.0009688026,0.002547815,0.002737208,0.002007379,0.1650063],"category_scores_gemma":[0.006443736,0.0009250737,0.001145091,0.01008001,0.0004408531,0.002310723,0.002545561,0.001933564,0.2125234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001510706,"about_ca_system_score_gemma":0.002358463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02049582,"about_ca_topic_score_gemma":0.03393207,"domain_scores_codex":[0.9989303,0.000148983,0.0001452282,0.0003707872,0.0002296416,0.000175039],"domain_scores_gemma":[0.9972915,0.0008074066,0.0002594371,0.000689052,0.0006466972,0.0003058007],"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":[0.00002983351,0.00001133988,0.0003946191,0.0005977099,0.00001554627,0.00001588976,0.00002459471,0.0001262634,0.0001121513,0.0003725176,0.9969109,0.001388589],"study_design_scores_gemma":[0.00007464263,0.000008325776,0.001928428,0.0002097195,0.00001499507,0.0000383331,0.00007288656,0.0001359764,0.0001773473,0.000754817,0.9965663,0.00001809022],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003929408,0.00002603593,0.0000397765,0.00003256743,0.00001079883,0.000005089474,0.998968,0.0003137556,0.0005645894],"genre_scores_gemma":[0.0001676274,0.00003490893,0.0001831583,0.00004560035,0.000003596171,0.00004322731,0.9989171,0.0001376024,0.0004671286],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8349937,"threshold_uncertainty_score":0.5520011,"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."}}