{"id":"W6924618303","doi":"10.15468/dl.s6byj5","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); State (computer science); Identification (biology)","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":[0.000806736,0.002019916,0.001487287,0.004628729,0.001017513,0.002404241,0.002818675,0.00202928,0.1460351],"category_scores_gemma":[0.0049878,0.0008959754,0.001351766,0.009300834,0.0004495571,0.002102731,0.002502026,0.001883648,0.2092895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001561247,"about_ca_system_score_gemma":0.002282715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0200313,"about_ca_topic_score_gemma":0.03476875,"domain_scores_codex":[0.9990331,0.0001322454,0.000122202,0.0003518783,0.0001956952,0.0001648942],"domain_scores_gemma":[0.9980868,0.000500096,0.0001805399,0.000514177,0.0004931202,0.0002252851],"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":[0.00003327686,0.00001252407,0.000425118,0.0006410617,0.00001583816,0.00001573665,0.00002335341,0.000136039,0.000137967,0.0003732583,0.9963986,0.001787187],"study_design_scores_gemma":[0.00007410337,0.00001031887,0.001763724,0.0001857668,0.00001604681,0.00004346337,0.00006323786,0.0001760072,0.0002081833,0.0007605819,0.9966814,0.00001717246],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005745582,0.00004274093,0.00005098023,0.00003984249,0.00001444211,0.000006402063,0.9985045,0.0004889108,0.0007947814],"genre_scores_gemma":[0.000175686,0.00004170689,0.0002229193,0.00005429493,0.000003524344,0.00004370424,0.9987872,0.0001442439,0.0005267114],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8539649,"threshold_uncertainty_score":0.488536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}