{"id":"W6962720303","doi":"10.15468/dl.vyqxyv","title":"Occurrence Download","year":2021,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ichthyology; Fish <Actinopterygii>; Download; Natural history; Range (aeronautics); Natural (archaeology)","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":[0.0010936,0.002958577,0.002684156,0.007622534,0.001419481,0.004609088,0.003046686,0.002201692,0.443638],"category_scores_gemma":[0.007353967,0.001155154,0.002104029,0.01333101,0.0004110166,0.00445698,0.004369704,0.002143304,0.5385095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001692067,"about_ca_system_score_gemma":0.00276575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02387683,"about_ca_topic_score_gemma":0.03623093,"domain_scores_codex":[0.9983363,0.0001835101,0.0002285022,0.0006281852,0.0003358763,0.0002876833],"domain_scores_gemma":[0.9967749,0.0007936608,0.0002052373,0.000882385,0.0009201009,0.0004237785],"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":[0.00004713701,0.00001328415,0.0002221114,0.0005007365,0.00001422718,0.00001456216,0.00002201729,0.00007852667,0.00007641555,0.0003926367,0.9951841,0.003434297],"study_design_scores_gemma":[0.00007682616,0.00001358041,0.001315798,0.0001751509,0.00001557664,0.00003439806,0.00008099282,0.0001917832,0.0001451394,0.001221831,0.9967061,0.0000229064],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004104239,0.00003960163,0.0001047358,0.0000512047,0.0000343934,0.00001252067,0.9960173,0.001568886,0.002130291],"genre_scores_gemma":[0.000177652,0.00006172054,0.0005552468,0.00008542596,0.00001003796,0.00006947605,0.9967592,0.0005404292,0.001740846],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.443638,"threshold_uncertainty_score":0.7935829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}