{"id":"W6962294638","doi":"10.15468/dl.zrzfbr","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":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.000923486,0.0017915,0.001551308,0.004914592,0.001035269,0.002975212,0.002750294,0.001824712,0.1864541],"category_scores_gemma":[0.006184414,0.0009039384,0.001331762,0.009461457,0.0004058277,0.002551499,0.002809569,0.001951795,0.268719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001385233,"about_ca_system_score_gemma":0.002302837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01900379,"about_ca_topic_score_gemma":0.03229094,"domain_scores_codex":[0.9989157,0.0001341248,0.000137318,0.0003910576,0.0002329711,0.0001889515],"domain_scores_gemma":[0.9975252,0.0006448707,0.0002058652,0.0006967394,0.0006606043,0.0002667703],"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":[0.00002967141,0.00001003431,0.000462215,0.0005323003,0.00001559811,0.00001702982,0.00002692599,0.0001270282,0.000126491,0.0004063651,0.9962388,0.002007526],"study_design_scores_gemma":[0.00005001291,0.000006737522,0.001627789,0.0001586633,0.00001265565,0.00003506336,0.00007852723,0.0001609778,0.0001710101,0.0007832112,0.9968992,0.00001613674],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004939489,0.00003121286,0.00007091068,0.0000451437,0.00001803496,0.000006307905,0.9982052,0.0006651055,0.0009086372],"genre_scores_gemma":[0.0001933974,0.00004132827,0.0002837877,0.00005471343,0.000005027161,0.00004591275,0.9984791,0.0002411435,0.0006556048],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8135459,"threshold_uncertainty_score":0.623751,"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."}}