{"id":"W6905905242","doi":"10.15468/dl.w2e1cu","title":"Occurrence Download","year":2016,"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); Feature (linguistics); 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":[0.0009776275,0.002142875,0.001548799,0.004845104,0.001024284,0.002719873,0.003137237,0.002122678,0.1250698],"category_scores_gemma":[0.006346537,0.0008994027,0.001322382,0.009455859,0.0004422611,0.002526243,0.00255005,0.002119926,0.2039655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001682629,"about_ca_system_score_gemma":0.002471446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02304311,"about_ca_topic_score_gemma":0.0369166,"domain_scores_codex":[0.9988943,0.0001589799,0.0001464699,0.000389704,0.0002397818,0.0001707853],"domain_scores_gemma":[0.9976332,0.000639486,0.0002162102,0.0006641116,0.0005887548,0.0002582114],"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":[0.00002953606,0.00001210644,0.0004245775,0.0004833709,0.00001524572,0.00001508533,0.00002150127,0.0001298094,0.00008486093,0.0003294017,0.9970298,0.001424728],"study_design_scores_gemma":[0.00008036607,0.000009515121,0.001959518,0.0002022151,0.00001601612,0.00004605367,0.00007635097,0.0002328188,0.000192788,0.00087142,0.9962947,0.00001811645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000543762,0.00003638792,0.00005204323,0.00004428281,0.00001390816,0.000006231073,0.9986695,0.0004786301,0.0006447436],"genre_scores_gemma":[0.0001620747,0.00003551902,0.0001862576,0.00004183052,0.000003434382,0.00004143381,0.9989679,0.0001233971,0.0004381018],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8749301,"threshold_uncertainty_score":0.4184002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}