{"id":"W6905938958","doi":"10.15468/dl.xrkzds","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","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":[0.001096357,0.001981416,0.001600324,0.005091075,0.001005492,0.002653457,0.002894399,0.002036127,0.1694423],"category_scores_gemma":[0.006373005,0.0009697736,0.001161179,0.01004948,0.0004463586,0.002333233,0.002583836,0.002024282,0.2270047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001643889,"about_ca_system_score_gemma":0.002468112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02296978,"about_ca_topic_score_gemma":0.03694872,"domain_scores_codex":[0.9989161,0.0001458346,0.0001415614,0.0003714674,0.0002483798,0.0001765218],"domain_scores_gemma":[0.9973834,0.0007435743,0.0002434115,0.0006747657,0.0006636706,0.000291189],"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":[0.00002644671,0.00001015263,0.000340144,0.0005153532,0.00001473395,0.0000145608,0.00002276713,0.00011464,0.0001067829,0.0003841668,0.997178,0.001272226],"study_design_scores_gemma":[0.00006940814,0.000006923589,0.001706946,0.0001828738,0.00001395944,0.00003480441,0.00006826387,0.0001354392,0.0001817646,0.0007406088,0.9968415,0.00001751386],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003337693,0.00002223464,0.00004238368,0.00003212986,0.00001081834,0.000004816724,0.9989072,0.0003398792,0.0006071538],"genre_scores_gemma":[0.000142144,0.00003028707,0.0001883919,0.00004129748,0.00000316918,0.0000414794,0.9989567,0.0001537041,0.0004428106],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8305577,"threshold_uncertainty_score":0.5668409,"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."}}