{"id":"W6943298268","doi":"10.15468/dl.xayvg2","title":"Occurrence Download","year":2023,"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":[0.0009908803,0.002019928,0.00158602,0.004755394,0.0009693603,0.00242269,0.002859002,0.002020292,0.1480181],"category_scores_gemma":[0.00563078,0.0009343183,0.001169266,0.009458597,0.0004670642,0.002194028,0.002562741,0.002037544,0.2108772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001625249,"about_ca_system_score_gemma":0.002330923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02319182,"about_ca_topic_score_gemma":0.0380767,"domain_scores_codex":[0.9990545,0.0001231265,0.0001195701,0.0003286998,0.0002123648,0.0001617739],"domain_scores_gemma":[0.9977573,0.0006204808,0.0002158495,0.0006012146,0.0005385954,0.0002666691],"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":[0.00003006569,0.0000115836,0.0003951307,0.0005243439,0.00001486436,0.00001521047,0.00002706016,0.0001368943,0.0001346341,0.0004112949,0.9968889,0.001409893],"study_design_scores_gemma":[0.0000739516,0.00000783772,0.001837173,0.0001738308,0.00001382711,0.00003683946,0.00007474231,0.0001619541,0.0002042062,0.0007692802,0.9966285,0.00001786713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004455121,0.00002401037,0.00004841166,0.00003310591,0.00001155265,0.000005203006,0.9987936,0.0004212055,0.0006183239],"genre_scores_gemma":[0.0001642753,0.00002947452,0.0002093095,0.00004015536,0.000003028143,0.0000410143,0.9989273,0.0001663007,0.0004190247],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8519819,"threshold_uncertainty_score":0.4951698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}