{"id":"W4240541095","doi":"10.1017/tam.2016.93","title":"TAM volume 73 issue 4 Cover and Front matter","year":2016,"lang":"en","type":"article","venue":"The Americas A Quarterly Review of Latin American History","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of North Carolina at Chapel Hill; Universidad de San Buenaventura; La Trobe University; York University; Swarthmore College; Georgetown University; University of Pittsburgh; Johns Hopkins University; University of Alberta; Brown University","keywords":"Front cover; Front (military); Volume (thermodynamics); Cover (algebra); Action (physics); Content (measure theory); Computer science; Environmental science; Engineering; Mechanical engineering; Mathematics; Physics; Thermodynamics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005269604,0.0001878701,0.0008936287,0.00008522419,0.00006684112,0.00001056256,0.000304896,0.00001865217,0.05236907],"category_scores_gemma":[0.00003721109,0.0001282872,0.0001681037,0.0001079851,0.001464693,0.0001424514,0.00005666239,0.00006855692,0.07622786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002148096,"about_ca_system_score_gemma":0.00002003742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005157847,"about_ca_topic_score_gemma":0.000001542599,"domain_scores_codex":[0.9985071,0.00004861535,0.0007022521,0.0004269263,0.00005172908,0.0002633624],"domain_scores_gemma":[0.9981612,0.00008290878,0.00104778,0.0006010851,0.00003184612,0.00007517487],"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":[0.000007830001,0.00003082753,0.005732758,0.0002326307,0.00007478044,9.505754e-7,0.001608165,1.273046e-7,0.00001655871,0.0005016439,0.9534336,0.03836016],"study_design_scores_gemma":[0.0001562589,0.0001760588,0.009148282,0.0002888973,0.00002463942,0.000002639184,0.0003194415,0.00001623499,4.110031e-7,0.0000821803,0.9895791,0.0002058417],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01892336,0.3180018,0.00148737,0.009806505,0.002503117,0.0009861512,0.0006187684,0.00008443212,0.6475885],"genre_scores_gemma":[0.09809918,0.05556098,0.001669023,0.01323605,0.000242104,0.0001225469,0.000006882584,0.00007067784,0.8309926],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2624408,"threshold_uncertainty_score":0.9484972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02339844249112652,"score_gpt":0.216903336268818,"score_spread":0.1935048937776915,"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."}}