{"id":"W6887294798","doi":"10.15468/dl.ya3cdx","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); Order (exchange); 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":[0.0009437973,0.001887573,0.001523389,0.004945822,0.001049422,0.00243361,0.002862941,0.002023289,0.1506722],"category_scores_gemma":[0.005345025,0.00091468,0.001160686,0.009900563,0.0004635906,0.002134747,0.002582551,0.002072574,0.2246142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001641637,"about_ca_system_score_gemma":0.002348242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02271182,"about_ca_topic_score_gemma":0.03960629,"domain_scores_codex":[0.9990485,0.0001237044,0.0001177405,0.0003303146,0.0002158788,0.0001637571],"domain_scores_gemma":[0.9978572,0.000569679,0.0002002573,0.0005883742,0.0005262353,0.0002582962],"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":[0.00002643491,0.00001071008,0.0003936929,0.0005090143,0.00001424925,0.00001591029,0.00002948841,0.0001223609,0.0001443785,0.0004478414,0.9967872,0.001498885],"study_design_scores_gemma":[0.00005563686,0.000006471267,0.001775132,0.0001626699,0.00001249647,0.00003508555,0.00007190654,0.0001264984,0.0001768559,0.0006706381,0.9968908,0.00001580626],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004742116,0.0000262323,0.00005262748,0.00003412772,0.00001243622,0.000005339181,0.9986467,0.000418511,0.0007566744],"genre_scores_gemma":[0.0001585655,0.00002927852,0.0002168767,0.00004165231,0.000003015687,0.00004108763,0.9988758,0.0001673649,0.0004664107],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8493277,"threshold_uncertainty_score":0.5040488,"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."}}