{"id":"W602744744","doi":"","title":"Cold Comfort: Growing Up Cold War by Gil McElroy (review)","year":2014,"lang":"en","type":"article","venue":"University of Toronto Quarterly","topic":"Political and Economic history of UK and US","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cold war; History; Aeronautics; Political science; Engineering; Law","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":[0.003334049,0.001382427,0.003513022,0.003016023,0.001410852,0.00543723,0.001538727,0.005007572,0.007835045],"category_scores_gemma":[0.01237927,0.0008390509,0.001100296,0.005855984,0.00279696,0.004834906,0.003651687,0.007091579,0.001904421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004960004,"about_ca_system_score_gemma":0.01470474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03129567,"about_ca_topic_score_gemma":0.07948176,"domain_scores_codex":[0.9984108,0.0006320656,0.0002027471,0.000194356,0.0003529113,0.0002071841],"domain_scores_gemma":[0.994001,0.003174317,0.0008100865,0.0001150627,0.001058568,0.0008408301],"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":[0.0001951447,0.00002841353,0.0004354618,0.03075827,0.0003335972,0.00009772037,0.0009745407,0.00008322831,0.00006211378,0.001882029,0.7990659,0.1660836],"study_design_scores_gemma":[0.000143993,0.00006509816,0.003925462,0.06297958,0.0005200131,0.0004642886,0.001404669,0.00001923001,0.00004601505,0.001388405,0.928992,0.00005130468],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003762131,0.9883336,0.000005883269,0.009304225,0.002122378,0.000002146555,0.00001520904,0.000001347266,0.0001776628],"genre_scores_gemma":[0.000944666,0.9818568,0.00002448985,0.01263131,0.004055576,0.00001290554,0.00002703386,0.000004315668,0.0004429309],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03129567,"threshold_uncertainty_score":0.06222701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009063987076750357,"score_gpt":0.2103413331965356,"score_spread":0.2012773461197852,"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."}}