{"id":"W6921805960","doi":"10.11575/prism/35117","title":"When should we expect microbial phenotypic traits to predict microbial abundances?","year":2012,"lang":"en","type":"other","venue":"University of Calgary","topic":"Medical History and Research","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Phenotype; Ectotherm; Identification (biology); Population","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00245805,0.0006543794,0.0007081392,0.0007304707,0.0004789168,0.0026445,0.0006884722,0.001108957,0.004281539],"category_scores_gemma":[0.01900318,0.0002897404,0.0003644695,0.00150961,0.0009326347,0.001328547,0.0006113362,0.002118921,0.002700067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001215855,"about_ca_system_score_gemma":0.001635372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04718081,"about_ca_topic_score_gemma":0.05520678,"domain_scores_codex":[0.99941,0.0001926777,0.00003007327,0.0001163781,0.0001682229,0.00008268507],"domain_scores_gemma":[0.9953388,0.002349045,0.0005689191,0.0002594171,0.001145942,0.0003378656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002858215,0.0001988258,0.6843737,0.0002871383,0.0002449971,0.000170605,0.0002296468,0.005623866,0.001781708,0.003291555,0.04228063,0.2612315],"study_design_scores_gemma":[0.00007697533,0.0002067726,0.9105394,0.0003362908,0.0001742279,0.0002033084,0.001448848,0.03068852,0.004184865,0.02470833,0.02735285,0.00007949396],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7326655,0.01317543,0.03447515,0.1095473,0.002064584,0.0001230295,0.01739278,0.001179989,0.08937623],"genre_scores_gemma":[0.9571937,0.005741401,0.01198875,0.008186514,0.000579212,0.00006772582,0.004740029,0.0001995554,0.01130314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04718081,"threshold_uncertainty_score":0.09381235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03734562463288069,"score_gpt":0.2177613725278505,"score_spread":0.1804157478949699,"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."}}