{"id":"W6962044570","doi":"10.15468/dl.leaw5i","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); 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":[0.001010694,0.001975797,0.00162321,0.005337562,0.0009456519,0.002568332,0.002934514,0.001982012,0.1360884],"category_scores_gemma":[0.006062026,0.000883846,0.00119149,0.01057954,0.0004366236,0.002316265,0.002627883,0.002030539,0.197011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001638091,"about_ca_system_score_gemma":0.00256329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02483318,"about_ca_topic_score_gemma":0.04150141,"domain_scores_codex":[0.9988896,0.0001487572,0.0001507003,0.000381233,0.0002474424,0.0001821601],"domain_scores_gemma":[0.9973996,0.000678722,0.0002654565,0.0007041252,0.000649675,0.0003024772],"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":[0.00002862034,0.00001133299,0.0004250833,0.0005278608,0.00001662299,0.00001572841,0.00002448224,0.0001272971,0.0001058048,0.0004063498,0.9969716,0.001339178],"study_design_scores_gemma":[0.00007312854,0.000007773635,0.002102538,0.0001989499,0.00001517507,0.00004036305,0.00007468332,0.000143081,0.0001827392,0.0007867362,0.9963568,0.00001802252],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004053547,0.00002568466,0.00003959284,0.00003276373,0.00001042692,0.000004720616,0.9989665,0.0003209179,0.0005590074],"genre_scores_gemma":[0.0001453356,0.00002998003,0.0001598073,0.00003604923,0.000002858711,0.00003283402,0.9990916,0.0001090178,0.0003924992],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8639116,"threshold_uncertainty_score":0.4552609,"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."}}