{"id":"W6924488318","doi":"10.15468/dl.q8kc7j","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":"Matching (statistics); Phoca; Range (aeronautics); Sciurus carolinensis; Download","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":[0.0009309896,0.002159487,0.001732358,0.005351123,0.001079677,0.002848027,0.002943253,0.002166801,0.1585082],"category_scores_gemma":[0.006200331,0.0009180646,0.001482941,0.01046282,0.0004374852,0.002608422,0.00274966,0.001982497,0.2448034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001698359,"about_ca_system_score_gemma":0.00241827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02235359,"about_ca_topic_score_gemma":0.03700954,"domain_scores_codex":[0.9988179,0.0001469137,0.0001542737,0.0004337166,0.0002474756,0.0001997615],"domain_scores_gemma":[0.9975902,0.0006250339,0.0002181417,0.0006480975,0.0006535938,0.0002649662],"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":[0.00003699094,0.00001072773,0.000434599,0.0006622575,0.00001839952,0.00001697687,0.00002465282,0.0001514293,0.0001262195,0.0003982814,0.9962527,0.001866771],"study_design_scores_gemma":[0.0000694177,0.000008500851,0.001625,0.0001916244,0.0000146552,0.00003477526,0.00006969092,0.0001763331,0.0001619227,0.0007551971,0.9968761,0.00001678693],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004063093,0.00003478185,0.00005030934,0.00003740138,0.00001406801,0.000005212089,0.9986457,0.0005021153,0.000669671],"genre_scores_gemma":[0.0001464747,0.0000393321,0.0002182733,0.00004836219,0.000003730003,0.00003655817,0.9989041,0.0001590774,0.0004441034],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8414918,"threshold_uncertainty_score":0.5302627,"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."}}