{"id":"W7061823485","doi":"","title":"Prince Albert Special tobacco freight train, 1938.","year":2009,"lang":"en","type":"other","venue":"WakeSpace (Wake Forest University)","topic":"Particle accelerators and beam dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tobacco industry; Work (physics); Tobacco control","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003652698,0.0004539269,0.0004173002,0.0004830046,0.00007546858,0.00005700182,0.0005132456,0.000465174,0.001038036],"category_scores_gemma":[0.000009161637,0.0005171405,0.0001536738,0.0006099119,0.00007997626,0.0001454238,0.00005939551,0.0003593914,0.0003745466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002371978,"about_ca_system_score_gemma":0.00006247607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001454113,"about_ca_topic_score_gemma":0.01760377,"domain_scores_codex":[0.9986693,0.00002311897,0.0001431588,0.0003863996,0.0002272023,0.0005507827],"domain_scores_gemma":[0.9991501,0.0000198758,0.00007920979,0.0004948325,0.00002719374,0.0002288035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002427644,0.00009779043,0.00483334,0.00007117647,0.0002068054,0.0006013439,0.0001356328,0.002594231,0.00008007596,0.01648937,0.9690312,0.005834722],"study_design_scores_gemma":[0.0005122746,0.00003946892,0.001512414,0.00009642742,0.00006822116,0.000006148989,0.00005151077,0.0006839986,0.00004405991,0.00004246342,0.9963365,0.0006065385],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01138546,0.0001953032,0.0006588966,0.00009772801,0.0007755417,0.0003118561,0.00008744523,0.0008779399,0.9856098],"genre_scores_gemma":[0.007954521,0.0004636635,0.0006570707,0.00005043907,0.002154119,9.79422e-7,0.00007407219,0.0004378961,0.9882072],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02730524,"threshold_uncertainty_score":0.9998751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005671018059918266,"score_gpt":0.1672510290800805,"score_spread":0.1615800110201623,"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."}}