{"id":"W2467926895","doi":"10.15695/amqst.v12i2.4247","title":"Review of Edward Rubin's 'The Heatstroke Line'","year":2016,"lang":"en","type":"article","venue":"AmeriQuests","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Heatstroke; Psychoanalysis; Medicine; Psychology; Internal medicine","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":[0.0007492669,0.00007113921,0.0001726987,0.00002032579,0.00008517259,0.000007351812,0.0002301643,0.00003744928,0.0004740094],"category_scores_gemma":[0.0004658274,0.00003744697,0.00008733087,0.0001580281,0.0003064927,0.0001224899,0.00002374632,0.00004607982,0.00009457084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000368464,"about_ca_system_score_gemma":0.0001797288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001159592,"about_ca_topic_score_gemma":0.0004184344,"domain_scores_codex":[0.9991414,0.0001100366,0.0001799282,0.0001041231,0.000234034,0.0002304667],"domain_scores_gemma":[0.9993414,0.0001086883,0.0001240643,0.0002238283,0.00009873437,0.0001033054],"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":[0.00004273316,0.0001769373,0.0130157,0.0007050273,0.00006043962,0.00001624178,0.004894833,2.039403e-7,0.006088699,0.06220511,0.2351215,0.6776726],"study_design_scores_gemma":[0.0000669109,0.00005013005,0.000978343,0.002088601,0.00001164718,0.000001103918,0.00003736757,5.156529e-8,0.001398915,0.0002929987,0.995009,0.00006493198],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6129485,0.08328292,0.0003598151,0.1235672,0.001683102,0.001378743,0.00002972894,0.000312409,0.1764376],"genre_scores_gemma":[0.9015457,0.08789737,0.000101406,0.003791444,0.0003673922,0.00001431905,0.000001548994,0.000009469574,0.006271327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7598875,"threshold_uncertainty_score":0.5190071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02932641691481939,"score_gpt":0.3641810222852884,"score_spread":0.334854605370469,"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."}}