{"id":"W7095598240","doi":"","title":"Development and Deployment of FiRECAM™","year":2000,"lang":"en","type":"article","venue":"","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Software deployment; Fire safety; Fire protection; Development (topology); Key (lock)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001453873,0.00009155284,0.0001215623,0.00007106286,0.00007519232,0.00002310835,0.0005753909,0.00004377665,0.00008105468],"category_scores_gemma":[0.00001203137,0.00008190402,0.00001874488,0.0001520953,0.000073338,0.00009627533,0.0001655237,0.00005755909,0.0001120775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003913966,"about_ca_system_score_gemma":0.00004532795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009343636,"about_ca_topic_score_gemma":0.00002724954,"domain_scores_codex":[0.9992193,0.0000132714,0.0001967399,0.0002292836,0.0001785392,0.0001628951],"domain_scores_gemma":[0.999463,0.00003436429,0.00003835726,0.0004135966,0.00001074376,0.00003990099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001814936,0.00004914343,0.0002866429,0.00001127412,0.00001102508,0.000001694992,0.001387369,0.00002534832,0.0004960636,0.01033935,0.009236266,0.978154],"study_design_scores_gemma":[0.0001300686,0.00001638305,0.003595739,0.00001763253,0.00000147138,0.000013776,0.000007320297,0.000586344,0.007863055,0.0009454838,0.9866674,0.0001553505],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8704172,0.0002898958,0.1165727,0.001596388,0.00009234233,0.00009543973,1.541596e-7,0.0009259925,0.01000989],"genre_scores_gemma":[0.32587,0.00001371829,0.6721737,0.0001202506,0.000004704837,0.00000312221,2.593509e-7,0.000003964925,0.001810196],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9779987,"threshold_uncertainty_score":0.3339949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03361128781467449,"score_gpt":0.2414836000453815,"score_spread":0.207872312230707,"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."}}