{"id":"W6905824929","doi":"10.15468/dl.tjbctu","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); Ophiostoma; Range (aeronautics); Alien","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":[0.0009845021,0.001954817,0.001528268,0.004712439,0.001057001,0.002645403,0.002808011,0.002194991,0.1639463],"category_scores_gemma":[0.006634051,0.0008961871,0.001268073,0.008752153,0.0004514634,0.002518267,0.002536971,0.002046598,0.2245544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582511,"about_ca_system_score_gemma":0.002291876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02207884,"about_ca_topic_score_gemma":0.03597038,"domain_scores_codex":[0.9989517,0.0001489015,0.0001230145,0.0003762134,0.0002317585,0.00016849],"domain_scores_gemma":[0.9973152,0.0008166366,0.0002139702,0.0007077319,0.0006675792,0.0002788814],"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":[0.00002559518,0.00001165036,0.0003653231,0.0004599922,0.00001232858,0.00001468342,0.00002179188,0.0001155537,0.00009804433,0.0003283352,0.9971986,0.001348182],"study_design_scores_gemma":[0.00007022625,0.000008933256,0.001857917,0.000200106,0.00001403987,0.0000375922,0.0000851256,0.0001870003,0.0001884611,0.0008738335,0.9964578,0.00001886814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004745677,0.00002858266,0.00005147101,0.00004734254,0.00001441855,0.000006685807,0.9986124,0.0004825366,0.0007091837],"genre_scores_gemma":[0.0001871551,0.00003402505,0.0002327708,0.00005491278,0.000004216238,0.00005173427,0.9987406,0.0001764088,0.0005181812],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8360537,"threshold_uncertainty_score":0.5484549,"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."}}