{"id":"W6924513259","doi":"10.15468/dl.k3bzkk","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":"Download; Matching (statistics); Range (aeronautics); Alien; The Internet","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":[0.001027004,0.001936168,0.00154871,0.005055408,0.001038778,0.002501273,0.002824022,0.002120466,0.1436913],"category_scores_gemma":[0.005850961,0.0008765938,0.001243514,0.009842418,0.0004581161,0.002255894,0.002417259,0.002025961,0.2084912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001623288,"about_ca_system_score_gemma":0.00239661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02346519,"about_ca_topic_score_gemma":0.03872788,"domain_scores_codex":[0.998908,0.0001515069,0.0001376421,0.0003785756,0.000246451,0.0001777137],"domain_scores_gemma":[0.9974354,0.0007412418,0.0002332172,0.0006694417,0.0006429904,0.0002777492],"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":[0.00002959708,0.00001303931,0.0004062261,0.0004992763,0.00001430113,0.00001501342,0.00002280623,0.0001252883,0.0001238249,0.0003616856,0.9969765,0.001412469],"study_design_scores_gemma":[0.00007026394,0.000009292668,0.002168245,0.0001858617,0.00001469114,0.00003870723,0.00007939171,0.0001493149,0.0002042563,0.0007472247,0.996314,0.00001882502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004677182,0.00002704796,0.00004267396,0.00003660384,0.00001221415,0.000005293095,0.9988768,0.000338006,0.0006146632],"genre_scores_gemma":[0.0001592575,0.00003069601,0.0001833697,0.00004122241,0.000003358812,0.00003999069,0.9989569,0.0001225752,0.0004625728],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8563088,"threshold_uncertainty_score":0.4806951,"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."}}