{"id":"W6905537428","doi":"10.15468/dl.m8cc5r","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; Alien; Range (aeronautics)","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":[0.0009128607,0.002001133,0.001513526,0.00483068,0.0009702122,0.002382643,0.002686103,0.00202107,0.1525534],"category_scores_gemma":[0.005743596,0.0008968193,0.001239546,0.009678541,0.0004386996,0.002120368,0.002516999,0.001811654,0.2095112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001554203,"about_ca_system_score_gemma":0.002433897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02296943,"about_ca_topic_score_gemma":0.03752521,"domain_scores_codex":[0.9989454,0.0001399838,0.0001355003,0.000371128,0.0002270136,0.0001810059],"domain_scores_gemma":[0.9976189,0.0006609417,0.0002279312,0.0006134325,0.000607955,0.0002708146],"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":[0.00003386402,0.00001219439,0.0004073442,0.0005428485,0.00001477444,0.00001473119,0.000022414,0.0001257396,0.0001288422,0.0003742725,0.996864,0.001459063],"study_design_scores_gemma":[0.00007862734,0.00001031694,0.002060106,0.0001930047,0.0000153715,0.00003784837,0.00007039699,0.0001496133,0.0002108192,0.0007925343,0.996362,0.0000192373],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000477092,0.00002696068,0.0000376052,0.00003400394,0.00001192954,0.000005163425,0.9988618,0.0003522339,0.0006226383],"genre_scores_gemma":[0.0001623325,0.00003363942,0.0001844175,0.0000465038,0.000003389364,0.00004068255,0.9989053,0.0001383747,0.0004852501],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8474466,"threshold_uncertainty_score":0.5103419,"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."}}