{"id":"W6887288568","doi":"10.15468/dl.trksri","title":"Occurrence Download","year":2019,"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); Minor (academic); 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":[0.0008296707,0.001704933,0.001430273,0.004795654,0.0009940738,0.002353684,0.002616626,0.001989182,0.1461271],"category_scores_gemma":[0.005781513,0.0007923171,0.001111674,0.009261863,0.0004262863,0.002159924,0.002286955,0.001842494,0.1955892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001527041,"about_ca_system_score_gemma":0.002137172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02362734,"about_ca_topic_score_gemma":0.03651574,"domain_scores_codex":[0.999108,0.0001276626,0.0001113836,0.0003065617,0.0001983767,0.0001479049],"domain_scores_gemma":[0.9978386,0.0006556781,0.0001900784,0.0005446436,0.0005370185,0.0002339953],"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":[0.00002580035,0.00001053985,0.000431477,0.0004678884,0.00001388066,0.00001527923,0.00002273227,0.0001270719,0.00009876192,0.0003386923,0.9969538,0.001493968],"study_design_scores_gemma":[0.00007303816,0.000008420847,0.002344222,0.0002099281,0.00001506292,0.00004205403,0.00008577909,0.0002021847,0.0001752993,0.0007861535,0.9960406,0.00001736243],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005269715,0.00003250413,0.00004574594,0.00004237701,0.00001388844,0.000005473215,0.9987717,0.0003712688,0.0006643676],"genre_scores_gemma":[0.0002008923,0.00003792274,0.0001920454,0.00004890332,0.000004151521,0.00004314144,0.9988437,0.0001349027,0.0004944039],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8538729,"threshold_uncertainty_score":0.4888438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}