{"id":"W6924924873","doi":"10.15468/dl.v8ea2m","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Set (abstract data type)","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":[0.00102544,0.001978093,0.001433776,0.004699298,0.001126984,0.002576734,0.002842291,0.002244273,0.1390742],"category_scores_gemma":[0.006491636,0.000904118,0.001280935,0.008752551,0.0004733539,0.002337986,0.002670386,0.002122568,0.2030646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001789084,"about_ca_system_score_gemma":0.002618443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02840499,"about_ca_topic_score_gemma":0.04578747,"domain_scores_codex":[0.9988474,0.000158301,0.0001461124,0.0003872318,0.000280062,0.0001808654],"domain_scores_gemma":[0.9974537,0.0007079855,0.0002127745,0.0006750515,0.0006598842,0.0002905429],"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":[0.0000277573,0.00001198129,0.0003940973,0.0004014318,0.00001193683,0.00001589073,0.00002419063,0.0001223012,0.00009962449,0.0003633532,0.9971396,0.001387893],"study_design_scores_gemma":[0.00006823015,0.000008193502,0.00194325,0.0001888927,0.00001230828,0.00004308691,0.00009172032,0.0001914832,0.0001956582,0.0007778622,0.9964612,0.0000181804],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005112654,0.00003048968,0.00005685872,0.00005097969,0.00001592717,0.000006501244,0.9985331,0.0005146577,0.0007402807],"genre_scores_gemma":[0.0001672823,0.00003294113,0.0002204918,0.00005314151,0.000003732237,0.0000415042,0.9988145,0.0001586329,0.0005077476],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8609258,"threshold_uncertainty_score":0.4652496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0383253302306079,"score_gpt":0.3435258671694183,"score_spread":0.3052005369388104,"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."}}