{"id":"W6943250983","doi":"10.15468/dl.mafa2w","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); Data set; Nova scotia; Distribution (mathematics)","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":[0.0009538929,0.001935393,0.001489052,0.004957078,0.0008452382,0.002489886,0.002499506,0.001874791,0.1617243],"category_scores_gemma":[0.005720664,0.0008247749,0.001107249,0.009445472,0.0003984709,0.002172346,0.002806869,0.001813048,0.2062386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001714637,"about_ca_system_score_gemma":0.002500425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02363199,"about_ca_topic_score_gemma":0.04157314,"domain_scores_codex":[0.9990259,0.00011809,0.0001347616,0.0003351438,0.0002104311,0.0001755682],"domain_scores_gemma":[0.9975511,0.0006077288,0.0002481606,0.0006339384,0.0006273875,0.0003316179],"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":[0.00003303395,0.00001024054,0.0004169804,0.0006060498,0.00001790281,0.00001606911,0.00002060726,0.0001223031,0.0001331359,0.0003587336,0.9967899,0.001475124],"study_design_scores_gemma":[0.00008144243,0.00000989678,0.002222103,0.0002224079,0.00001623879,0.0000384202,0.00005877631,0.000145585,0.0002005366,0.0007573142,0.9962297,0.00001749294],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003848216,0.00002702234,0.00003200876,0.00003122062,0.00001218452,0.000004747856,0.9990504,0.0002964571,0.0005074184],"genre_scores_gemma":[0.0001607899,0.00003556216,0.0001462007,0.00004298973,0.000003618998,0.00003240581,0.9990724,0.0001052096,0.0004006756],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8382757,"threshold_uncertainty_score":0.5410218,"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."}}