{"id":"W7051894026","doi":"","title":"Playing with fire: if a deadly inferno ignited in your building, would you know what to do? Startling research shows too many would dither, then rush to their doom","year":2002,"lang":"en","type":"article","venue":"NPARC","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gold rush; Ridiculous; Narrative; Government (linguistics); Gloom","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001168134,0.0004595763,0.0002538498,0.0003672694,0.006851999,0.004922648,0.0006630882,0.003408053,0.0505928],"category_scores_gemma":[0.004035838,0.0003316325,0.0003064966,0.00029445,0.002790679,0.005210376,0.001418196,0.005858772,0.02148345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001889602,"about_ca_system_score_gemma":0.0017815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01876443,"about_ca_topic_score_gemma":0.05525627,"domain_scores_codex":[0.9994804,0.00008969483,0.00001322925,0.00007565251,0.0002357002,0.0001053223],"domain_scores_gemma":[0.9991935,0.0001546442,0.00003789314,0.00007271636,0.000261185,0.0002800311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000122967,0.000039472,0.001099427,0.00005247384,0.000009937439,0.0001460759,0.001368761,0.00006229806,0.001079926,0.02318304,0.9076842,0.06515133],"study_design_scores_gemma":[0.00001196566,0.00003229321,0.001000038,0.00008351304,0.000008533591,0.0001896096,0.003063051,0.0001501044,0.0007625557,0.01358909,0.9810848,0.00002442877],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009760737,0.008538205,0.006095576,0.3844799,0.02467046,0.00004343483,0.0003942517,0.001216929,0.5648005],"genre_scores_gemma":[0.1011561,0.007355379,0.0072043,0.08058576,0.002965085,0.00002938709,0.0003819292,0.0006906781,0.7996314],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0505928,"threshold_uncertainty_score":0.1692498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05310988471046114,"score_gpt":0.3167330105716314,"score_spread":0.2636231258611703,"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."}}