{"id":"W6943286332","doi":"10.15468/dl.n1javu","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); Distribution (mathematics); Raw data","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":[0.00110696,0.001978384,0.001616417,0.005591245,0.0008973615,0.002647472,0.002827129,0.001914883,0.1698563],"category_scores_gemma":[0.006287858,0.0009217106,0.001221645,0.01090407,0.0004237876,0.002529695,0.002940336,0.002033205,0.2459696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001636688,"about_ca_system_score_gemma":0.00258801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02095187,"about_ca_topic_score_gemma":0.03464075,"domain_scores_codex":[0.9988187,0.0001504816,0.0001625278,0.0003971114,0.0002707427,0.0002004296],"domain_scores_gemma":[0.9971673,0.0006707515,0.0002857216,0.0007763372,0.0007486924,0.000351202],"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":[0.00002927036,0.000009566399,0.0003375049,0.0005120154,0.00001508902,0.00001284412,0.00001999561,0.000100643,0.0001118493,0.000367464,0.9971481,0.001335694],"study_design_scores_gemma":[0.00006712118,0.00000738954,0.00177118,0.0001903807,0.00001371056,0.0000326634,0.00005628653,0.0001105149,0.0001775595,0.000725752,0.9968311,0.00001638025],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003215024,0.00002347971,0.00003911273,0.0000304589,0.00001078231,0.000005255696,0.9989024,0.0003411702,0.0006152556],"genre_scores_gemma":[0.0001324183,0.00003237331,0.0001665518,0.00004210365,0.000003358783,0.00003566801,0.9990301,0.0001343793,0.0004230986],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8301437,"threshold_uncertainty_score":0.5682259,"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."}}