{"id":"W6990292612","doi":"","title":"Development and deployment of FiRECAM<TM>","year":2000,"lang":"en","type":"article","venue":"National Research Council Canada (Government of Canada)","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; Fire safety; Development (topology); Key (lock); Fire protection","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.004075451,0.0007917355,0.0003988099,0.001536016,0.0006734914,0.001300285,0.002856879,0.00139475,0.01585428],"category_scores_gemma":[0.003769108,0.0004599329,0.0005517356,0.000935848,0.0005981962,0.001748027,0.001114144,0.001256289,0.006938333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001813794,"about_ca_system_score_gemma":0.005601475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0576553,"about_ca_topic_score_gemma":0.06336416,"domain_scores_codex":[0.9984859,0.0001615976,0.00005106311,0.0002216393,0.0009052017,0.0001746636],"domain_scores_gemma":[0.9963999,0.0001773698,0.00008551357,0.0003076611,0.0026459,0.0003835498],"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":[0.0003668206,0.000781157,0.01070684,0.0005840862,0.0000465562,0.0003229493,0.0008509239,0.004590593,0.1436161,0.009022607,0.04017065,0.7889407],"study_design_scores_gemma":[0.0003285971,0.002456477,0.0481718,0.0005237769,0.000148434,0.001363719,0.00126344,0.07227549,0.2666821,0.00192843,0.6046258,0.0002320182],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08300754,0.001237347,0.7768589,0.001852762,0.0008127078,0.006864665,0.005256863,0.01768622,0.106423],"genre_scores_gemma":[0.1366184,0.0009142727,0.7987014,0.0008162819,0.0001014367,0.001896139,0.00786136,0.000964789,0.05212598],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0576553,"threshold_uncertainty_score":0.1146394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04040185666828106,"score_gpt":0.2313944004292582,"score_spread":0.1909925437609771,"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."}}