{"id":"W2760097507","doi":"","title":"Regulatory landscape for microorganisms used in industrial applications in Canada","year":2016,"lang":"en","type":"article","venue":"2016 SIMB Annual Meeting and Exhibition","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Environmental planning; Business; Environmental resource management; Geography; Environmental science","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":[],"consensus_categories":[],"category_scores_codex":[0.0009637548,0.0002690786,0.0002681771,0.002315093,0.002269864,0.003227306,0.0008553931,0.00037533,0.002839589],"category_scores_gemma":[0.001589201,0.0001938642,0.0004205471,0.003238781,0.001055998,0.0003962419,0.0007251913,0.0005931474,0.0002803633],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0729298,"about_ca_system_score_gemma":0.06967265,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9809694,"about_ca_topic_score_gemma":0.9901468,"domain_scores_codex":[0.9986182,0.00007277924,0.0000380522,0.0002476511,0.0005219053,0.0005012867],"domain_scores_gemma":[0.9980778,0.0001169792,0.0001843298,0.00003455536,0.001197036,0.0003894008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002154376,0.0004784047,0.3409036,0.0006127553,0.0001814847,0.001327451,0.009587852,0.008301683,0.334848,0.05048576,0.01579824,0.2353204],"study_design_scores_gemma":[0.0000472639,0.0004364209,0.7355178,0.0002355767,0.0001949905,0.0004223656,0.01762386,0.007203161,0.03250728,0.003272995,0.2023912,0.0001470323],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9434198,0.003935216,0.001726804,0.003683923,0.0000328793,0.0001011339,0.004536534,0.0001200036,0.04244369],"genre_scores_gemma":[0.9817856,0.00229355,0.001885612,0.0005240832,0.000004570054,0.00002360437,0.001521986,0.0000324131,0.01192858],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9270702,"threshold_uncertainty_score":0.5291452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006113151058246532,"score_gpt":0.1940067702803357,"score_spread":0.1878936192220891,"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."}}