{"id":"W6931809373","doi":"10.5281/zenodo.7350554","title":"YueruZ/occurrence-based-model: occurrence-based-models","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Infections and bacterial resistance","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ecological niche; Code (set theory); Vegetation (pathology); Tree (set theory)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001104082,0.001541771,0.0008013349,0.000691944,0.0003542647,0.001375641,0.002973836,0.00180935,0.05936426],"category_scores_gemma":[0.003821008,0.0007037119,0.001395323,0.0006728294,0.0003883101,0.001911365,0.00178177,0.001640131,0.03398703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007065231,"about_ca_system_score_gemma":0.0009992993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009449389,"about_ca_topic_score_gemma":0.007304272,"domain_scores_codex":[0.9996054,0.00009232642,0.00002947403,0.0001346549,0.00009355007,0.00004467971],"domain_scores_gemma":[0.9990571,0.0003726567,0.00005296911,0.0002560143,0.0001796467,0.0000816728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005893706,0.0001557032,0.002710078,0.00054641,0.00025611,0.0002890076,0.00009342042,0.4687459,0.003795923,0.09977683,0.2785278,0.1445134],"study_design_scores_gemma":[0.00008941462,0.00001434355,0.0002633155,0.0000300178,0.00002080903,0.00004391773,0.000005634071,0.9101973,0.002139556,0.03387552,0.05328481,0.00003550839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.004834207,0.0003773374,0.8960684,0.0008714366,0.0006474447,0.0001607677,0.02494663,0.05870859,0.01338515],"genre_scores_gemma":[0.1825026,0.001080096,0.6516997,0.0006630771,0.0007282624,0.001052427,0.06858782,0.04235933,0.05132673],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.05936426,"threshold_uncertainty_score":0.1985933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0269218311512018,"score_gpt":0.2491840190833077,"score_spread":0.2222621879321059,"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."}}