{"id":"W6925020217","doi":"10.15468/dl.vr7dh5","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); 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":[0.0009871908,0.002066035,0.001421566,0.003927022,0.0008337926,0.002192345,0.002914767,0.002140172,0.09761436],"category_scores_gemma":[0.005652432,0.0008043653,0.001294238,0.007907445,0.0004002773,0.001823532,0.001899742,0.001846228,0.1530546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001523602,"about_ca_system_score_gemma":0.001980139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02134566,"about_ca_topic_score_gemma":0.0357276,"domain_scores_codex":[0.999072,0.0001264635,0.000117596,0.0003254935,0.0002225523,0.0001359023],"domain_scores_gemma":[0.9976705,0.0006720349,0.000205473,0.0006746022,0.0005671896,0.0002102255],"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":[0.00003369257,0.00001812176,0.0004971871,0.0005526074,0.00001929878,0.0000153474,0.00001964352,0.0003342333,0.0001311115,0.0004223216,0.9959856,0.001970808],"study_design_scores_gemma":[0.00009884882,0.00001333146,0.002588605,0.0002166352,0.00001949222,0.00004194886,0.00006651527,0.0004515571,0.0002937342,0.001211516,0.9949756,0.00002226272],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006281812,0.00003032644,0.00006861597,0.00003625078,0.0000109402,0.000006153697,0.9986538,0.0005284278,0.0006026466],"genre_scores_gemma":[0.0002110582,0.00003272669,0.0002598636,0.00003685394,0.000002919116,0.00004083423,0.9988987,0.0001266066,0.0003904917],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9023857,"threshold_uncertainty_score":0.3265526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009544422784039977,"score_gpt":0.1911886466262651,"score_spread":0.1816442238422252,"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."}}