{"id":"W6961982562","doi":"10.15468/dl.ubv8yr","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; Ichthyology; Matching (statistics); Range (aeronautics); Data collection","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":[0.001066059,0.001915135,0.001523229,0.005749235,0.0008518472,0.002548513,0.002724727,0.001897915,0.1641768],"category_scores_gemma":[0.006430164,0.0008642998,0.001180055,0.01061238,0.0004174164,0.002288263,0.002768588,0.001929127,0.2253038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001533784,"about_ca_system_score_gemma":0.002575769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02091748,"about_ca_topic_score_gemma":0.03580837,"domain_scores_codex":[0.9989182,0.0001490192,0.0001411551,0.0003528853,0.0002565875,0.0001822156],"domain_scores_gemma":[0.9972748,0.0006989694,0.0002608165,0.0007260473,0.0007095658,0.0003296728],"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":[0.00002495628,0.000009029804,0.0003319517,0.0004653173,0.00001472363,0.00001157491,0.00001808706,0.0001075109,0.00009148325,0.0003362013,0.9972382,0.001351035],"study_design_scores_gemma":[0.00006927463,0.000007555872,0.001795228,0.0001987589,0.00001417829,0.00003218977,0.00006067665,0.0001310264,0.0001639878,0.0007981498,0.9967122,0.00001668051],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000354172,0.00002577064,0.00003899293,0.00003324626,0.00001204377,0.000005216913,0.9989344,0.0003391951,0.0005757141],"genre_scores_gemma":[0.0001422652,0.00003385364,0.000172172,0.00003977841,0.000003878019,0.00003724633,0.9990104,0.0001351806,0.0004251539],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8358232,"threshold_uncertainty_score":0.5492262,"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."}}