{"id":"W6924860924","doi":"10.15468/dl.vzbbkj","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":"Download; Matching (statistics); Alien; Range (aeronautics); Data collection","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":[0.0009740767,0.001916345,0.001507828,0.00486587,0.000993964,0.002465745,0.002654448,0.002028139,0.1572334],"category_scores_gemma":[0.005874596,0.0008840405,0.001223196,0.009218529,0.0004590731,0.002298437,0.002557527,0.001938424,0.2271026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001484423,"about_ca_system_score_gemma":0.002237574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02044339,"about_ca_topic_score_gemma":0.03278202,"domain_scores_codex":[0.9990073,0.0001361219,0.0001257846,0.0003498914,0.0002150097,0.0001659558],"domain_scores_gemma":[0.9975353,0.0006946162,0.0002229365,0.0006549134,0.00061521,0.000276839],"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":[0.00002769208,0.00001204673,0.0004002346,0.0005258429,0.00001352641,0.00001527933,0.00002414996,0.0001258714,0.0001212326,0.000338405,0.9968793,0.00151643],"study_design_scores_gemma":[0.00006926374,0.000009099837,0.001956926,0.0002030818,0.00001384888,0.00003758259,0.00008444898,0.0001557593,0.0001921138,0.0007151944,0.9965453,0.00001741869],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004878586,0.00002826755,0.00004678697,0.00004007359,0.00001466296,0.000006145185,0.9987487,0.0004071601,0.000659433],"genre_scores_gemma":[0.000167077,0.00003389122,0.0002091312,0.00004803876,0.000004078278,0.00004640335,0.998862,0.0001485386,0.0004809336],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8427665,"threshold_uncertainty_score":0.5259983,"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."}}