{"id":"W6962374474","doi":"10.15468/dl.v7qjvw","title":"Occurrence Download","year":2022,"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); State (computer science)","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":[0.0009349648,0.002053834,0.001610603,0.004819367,0.0009887975,0.002559956,0.002730203,0.001961432,0.1663174],"category_scores_gemma":[0.00606799,0.0009271319,0.001248832,0.009537884,0.0004313327,0.002205411,0.002510863,0.001889719,0.2223987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001506295,"about_ca_system_score_gemma":0.002334224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02146154,"about_ca_topic_score_gemma":0.03410186,"domain_scores_codex":[0.9989722,0.0001372135,0.0001257346,0.0003772714,0.0002142421,0.0001733783],"domain_scores_gemma":[0.9976093,0.0006924707,0.0002263546,0.000618017,0.0005835271,0.0002703151],"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":[0.00003153246,0.00001095946,0.0003854728,0.0005483085,0.0000152103,0.00001384909,0.00002100018,0.0001283797,0.0001195118,0.0003613934,0.9969295,0.001434892],"study_design_scores_gemma":[0.00007701515,0.00001011183,0.001858802,0.0001880366,0.0000159718,0.00003529368,0.00006292415,0.0001557798,0.0001918221,0.000807593,0.996578,0.00001865575],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004205476,0.00002706338,0.00004165695,0.00003485548,0.00001249562,0.000005041244,0.9988412,0.0003855467,0.0006101326],"genre_scores_gemma":[0.0001598186,0.00003506877,0.0001929112,0.00004949367,0.000003737694,0.00004338426,0.9988431,0.0001617952,0.000510802],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8336825,"threshold_uncertainty_score":0.5563873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}