{"id":"W6887175045","doi":"10.15468/dl.stu5xx","title":"Occurrence Download","year":2018,"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); Confidentiality","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":[0.001013222,0.001971565,0.001519532,0.005932686,0.0009575001,0.002503012,0.00277765,0.001827714,0.1519673],"category_scores_gemma":[0.006010383,0.0008710535,0.001125355,0.01122935,0.0004343849,0.00241281,0.002771717,0.001972388,0.2300304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001589958,"about_ca_system_score_gemma":0.002502036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02302231,"about_ca_topic_score_gemma":0.04109301,"domain_scores_codex":[0.9988769,0.0001579983,0.0001450619,0.0003687706,0.0002600493,0.0001912987],"domain_scores_gemma":[0.9971945,0.000681575,0.0002735437,0.0007585498,0.000744262,0.0003475719],"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":[0.00002577226,0.000009876422,0.0003390845,0.0004320825,0.00001311288,0.00001283875,0.00002116417,0.00009008727,0.00009260216,0.0003270516,0.9973295,0.001306849],"study_design_scores_gemma":[0.00005836921,0.000007565629,0.001873785,0.0001678379,0.00001266861,0.00003359805,0.0000685112,0.0001140518,0.0001645054,0.000656226,0.9968274,0.00001542683],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004160415,0.0000261497,0.00003884293,0.00003317327,0.00001096767,0.000005315575,0.9988147,0.0003737088,0.0006556876],"genre_scores_gemma":[0.0001364618,0.00002965941,0.0001587014,0.00003771201,0.00000339102,0.00003383528,0.9990332,0.0001285318,0.0004385108],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8480327,"threshold_uncertainty_score":0.5083811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}