{"id":"W6905646844","doi":"10.15468/dl.kbygph","title":"Occurrence Download","year":2017,"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); R package; Order (exchange)","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":[0.0009704761,0.002069184,0.001710191,0.005564379,0.001026832,0.002679189,0.003053713,0.002125247,0.1443716],"category_scores_gemma":[0.005719707,0.0008838632,0.001183823,0.01120388,0.0004733593,0.002416286,0.002786592,0.002154199,0.2151506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001670677,"about_ca_system_score_gemma":0.002554718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02232849,"about_ca_topic_score_gemma":0.03932251,"domain_scores_codex":[0.9989722,0.0001334549,0.0001289166,0.0003416477,0.0002456678,0.0001781244],"domain_scores_gemma":[0.9976721,0.0005911309,0.0002216833,0.0006169871,0.0006173352,0.0002806461],"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":[0.00002701452,0.00001131702,0.0003657399,0.000528936,0.00001519136,0.00001517441,0.00002432266,0.00012251,0.0001121552,0.0004159121,0.9969352,0.001426453],"study_design_scores_gemma":[0.00006606289,0.000006999502,0.001596229,0.0001922174,0.00001333049,0.00003528775,0.00007029702,0.0001333826,0.0001712134,0.0007352694,0.9969637,0.00001602868],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004536389,0.0000344883,0.00004652784,0.00003537744,0.00001249267,0.000005348872,0.9987547,0.0003778881,0.0006877396],"genre_scores_gemma":[0.0001414477,0.0000353394,0.0001712784,0.00003741701,0.000003120638,0.00003462168,0.9990239,0.0001268241,0.0004260374],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8556284,"threshold_uncertainty_score":0.4829712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387106755018206,"score_gpt":0.2528130017232275,"score_spread":0.2289419341730454,"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."}}