{"id":"W6943385137","doi":"10.15468/dl.petxlc","title":"Occurrence Download","year":2015,"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":[0.001069648,0.001993895,0.001653871,0.005580121,0.0009324058,0.002536761,0.002884214,0.002079666,0.1486464],"category_scores_gemma":[0.006350447,0.0009017066,0.001230043,0.01018365,0.0004457569,0.002445831,0.00278966,0.001988876,0.2048017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001664721,"about_ca_system_score_gemma":0.002508368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02027143,"about_ca_topic_score_gemma":0.03516592,"domain_scores_codex":[0.9988751,0.0001486061,0.0001565945,0.0003835493,0.0002517955,0.0001842616],"domain_scores_gemma":[0.9972249,0.0007244466,0.0002791297,0.000768939,0.000678376,0.0003242491],"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":[0.00003279734,0.00001213507,0.0003860345,0.000625031,0.00001768157,0.00001586986,0.00002201825,0.0001231515,0.0001277924,0.0003987399,0.9968044,0.001434436],"study_design_scores_gemma":[0.00008388413,0.000009852547,0.002066738,0.0002137608,0.00001588695,0.00003989791,0.00006227583,0.0001435238,0.0001955402,0.0007648838,0.9963855,0.00001839173],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004268455,0.00002942184,0.00004069576,0.00003348471,0.00001153072,0.000005810889,0.9988464,0.0003896424,0.0006003569],"genre_scores_gemma":[0.0001471872,0.00003298172,0.0001729558,0.00004081164,0.000003280851,0.00003654262,0.9990652,0.0001227664,0.0003782687],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8513536,"threshold_uncertainty_score":0.4972718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668786630850237,"score_gpt":0.2410469455301918,"score_spread":0.2143590792216895,"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."}}