{"id":"W6943430819","doi":"10.15468/dl.yvgjdd","title":"Occurrence Download","year":2019,"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","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":[0.0009834231,0.001942296,0.001677266,0.005653849,0.0009925786,0.002706203,0.002817319,0.001934386,0.1773017],"category_scores_gemma":[0.00612638,0.0009321407,0.001222048,0.01133914,0.00044572,0.002336565,0.002840383,0.001922668,0.2421001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001661081,"about_ca_system_score_gemma":0.00247608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02341795,"about_ca_topic_score_gemma":0.03689096,"domain_scores_codex":[0.9988672,0.0001425388,0.0001479811,0.0003873739,0.0002582272,0.0001967108],"domain_scores_gemma":[0.9975043,0.0006573445,0.000244997,0.0006678315,0.0006312798,0.0002942834],"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":[0.00003153081,0.000009740104,0.0003564266,0.0006046607,0.00001670424,0.00001465396,0.00002414908,0.0001085433,0.0001231806,0.0004162245,0.9967783,0.001515808],"study_design_scores_gemma":[0.0000622525,0.000006656332,0.001583324,0.000184374,0.00001406692,0.00003223211,0.00005987786,0.000105873,0.000181003,0.0007424599,0.9970119,0.00001592262],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000339134,0.00002827349,0.00003842737,0.00003044222,0.00001001649,0.00000460164,0.9988373,0.0003642396,0.0006527497],"genre_scores_gemma":[0.0001454487,0.00003649672,0.000166198,0.00004350279,0.000003210117,0.0000346996,0.9989623,0.0001568106,0.0004513316],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8226984,"threshold_uncertainty_score":0.5931332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}