{"id":"W7132074503","doi":"","title":"Development and deployment of FiRECAM<TM>","year":2000,"lang":"en","type":"article","venue":"NPARC","topic":"Fire dynamics and safety research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Software deployment; Development (topology); Key (lock); Fire safety; Fire protection","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.002249964,0.0005179128,0.0003180065,0.0009123498,0.0004340695,0.0009025545,0.001832245,0.001144935,0.01418608],"category_scores_gemma":[0.002225565,0.0002949816,0.0004647857,0.0005461184,0.0003278708,0.00127893,0.0008220409,0.0008263513,0.006369715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007007451,"about_ca_system_score_gemma":0.001801949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01089484,"about_ca_topic_score_gemma":0.01106807,"domain_scores_codex":[0.9991259,0.00009055509,0.00003774436,0.000137898,0.0005156833,0.00009216999],"domain_scores_gemma":[0.9983338,0.00009310107,0.00004849719,0.0001984318,0.001154511,0.0001716811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003371687,0.0004009029,0.007258815,0.0004588373,0.0000527046,0.0004099989,0.0005424211,0.003472483,0.2435905,0.008223836,0.04143506,0.6938172],"study_design_scores_gemma":[0.0001893909,0.001682927,0.02911272,0.0002647459,0.00009677258,0.001594015,0.0004632568,0.05223276,0.3482893,0.001419327,0.5644804,0.0001744694],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07530414,0.0006391775,0.7962114,0.001360229,0.0009687099,0.003502703,0.004498521,0.01852445,0.09899066],"genre_scores_gemma":[0.1320979,0.0005089305,0.7978837,0.0009009088,0.0001237593,0.001676653,0.008172384,0.001089051,0.05754667],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01418608,"threshold_uncertainty_score":0.04745716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009430894553582342,"score_gpt":0.2106845740275358,"score_spread":0.2012536794739535,"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."}}