{"id":"W6887237902","doi":"10.15468/dl.v7kqwz","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); State (computer science); 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":[0.001058628,0.001977225,0.001639734,0.005379529,0.0009636997,0.002671,0.003040797,0.002044431,0.1472979],"category_scores_gemma":[0.006225657,0.0008827519,0.001176508,0.01046134,0.0004325096,0.002418312,0.002646909,0.002119559,0.2192165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001606099,"about_ca_system_score_gemma":0.002437653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01967689,"about_ca_topic_score_gemma":0.03413289,"domain_scores_codex":[0.9988813,0.0001488161,0.0001453765,0.0003831893,0.0002570378,0.0001842454],"domain_scores_gemma":[0.9974397,0.0006567766,0.0002623794,0.0006949945,0.0006420352,0.0003039874],"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":[0.00002571446,0.00001125063,0.0003715033,0.0004743099,0.00001440956,0.0000134936,0.00002064021,0.0001127222,0.0001014137,0.000381457,0.9971751,0.001297938],"study_design_scores_gemma":[0.00006800595,0.000007271559,0.001799929,0.0001825405,0.00001339101,0.00003516909,0.00006416703,0.0001356141,0.0001789848,0.0007934665,0.9967052,0.00001629244],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004107181,0.00002782677,0.00004215392,0.00003394817,0.0000115955,0.000005010351,0.9988636,0.000330491,0.0006444287],"genre_scores_gemma":[0.000142007,0.00003138904,0.0001694804,0.00003785938,0.000003348187,0.00003588914,0.9990051,0.0001207218,0.0004541133],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8527021,"threshold_uncertainty_score":0.4927604,"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."}}