{"id":"W6962362963","doi":"10.15468/dl.sxhnaf","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); Download; Range (aeronautics); Feature (linguistics); Census","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":[0.0009636556,0.001969836,0.001522564,0.00441329,0.0009496919,0.002347107,0.002829033,0.002020614,0.1407093],"category_scores_gemma":[0.005541886,0.0008982483,0.001179183,0.00870256,0.0004449814,0.002165403,0.00249349,0.002013571,0.2035469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001557412,"about_ca_system_score_gemma":0.002195146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02065453,"about_ca_topic_score_gemma":0.03521384,"domain_scores_codex":[0.9990433,0.0001280136,0.000121472,0.0003358763,0.0002113833,0.0001599388],"domain_scores_gemma":[0.9978097,0.0005963636,0.0002072448,0.0006015525,0.0005198699,0.0002652153],"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":[0.00002970004,0.00001207118,0.0003938898,0.0005042441,0.00001483982,0.00001465498,0.00002460689,0.0001350764,0.0001309616,0.0003936709,0.9969416,0.001404651],"study_design_scores_gemma":[0.00007657131,0.00000846905,0.001906857,0.0001814517,0.00001411854,0.00003968287,0.00007288357,0.0001718704,0.0002070259,0.0007501123,0.9965539,0.00001698797],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000048221,0.00002645805,0.00004935615,0.00003430313,0.00001244305,0.000005456357,0.9987872,0.0004070532,0.000629486],"genre_scores_gemma":[0.0001579751,0.00002858477,0.0001993784,0.0000404042,0.00000295499,0.00003897053,0.998991,0.0001442133,0.000396514],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8592907,"threshold_uncertainty_score":0.4707195,"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."}}