{"id":"W6947872650","doi":"10.4224/20386392","title":"FiRECAM™ deployment survey results","year":2000,"lang":"en","type":"report","venue":"NPARC","topic":"Wood and Agarwood Research","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Software deployment; Sample (material); Software; Service (business); Risk management; Fire safety","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.004851684,0.0004384682,0.000262529,0.002464111,0.0006559788,0.001153367,0.0005249105,0.0004392272,0.02153794],"category_scores_gemma":[0.01471688,0.0002609225,0.0003215184,0.003262611,0.0002294741,0.0008243545,0.001125936,0.0006438638,0.01558081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001149907,"about_ca_system_score_gemma":0.001413361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01647359,"about_ca_topic_score_gemma":0.0154783,"domain_scores_codex":[0.9938394,0.001613226,0.0006497764,0.0004500734,0.002629171,0.0008182786],"domain_scores_gemma":[0.9866702,0.002460678,0.001420087,0.0006551665,0.007837089,0.0009568548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002776329,0.000761041,0.6206075,0.0005862351,0.00004671928,0.0003556157,0.007901294,0.0003012826,0.001504942,0.001286723,0.171576,0.1947951],"study_design_scores_gemma":[0.00001885324,0.0003670793,0.8570359,0.0001277964,0.00001788738,0.0002526582,0.007993645,0.0002384909,0.0007711226,0.0001329831,0.1330179,0.00002575016],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6144664,0.0006084029,0.003024384,0.00384907,0.000219426,0.0035494,0.07211376,0.0004870041,0.3016821],"genre_scores_gemma":[0.7883638,0.00186082,0.005446979,0.002128872,0.0001570012,0.005118769,0.05996045,0.0001746503,0.1367887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02153794,"threshold_uncertainty_score":0.07205153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08202646761660415,"score_gpt":0.3339781218589528,"score_spread":0.2519516542423486,"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."}}