{"id":"W4225299313","doi":"10.5430/ijhe.v11n5p76","title":"Impact of a Cohort Model on the American Veteran Transition to College","year":2022,"lang":"en","type":"article","venue":"International Journal of Higher Education","topic":"Education and Military Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cohort; Government (linguistics); Identity (music); Population; Medical education; Psychology; Public relations; State (computer science); Political science; Gerontology; Medicine; Sociology; Demography","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":[0.009001305,0.0003247069,0.000195931,0.001082199,0.005862214,0.004160872,0.001783814,0.0007542066,0.01020278],"category_scores_gemma":[0.0125601,0.0002176332,0.0007026055,0.0007499291,0.00178734,0.001952808,0.003849776,0.001549851,0.0007361741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006267553,"about_ca_system_score_gemma":0.01456609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1244662,"about_ca_topic_score_gemma":0.1842771,"domain_scores_codex":[0.9961691,0.002477939,0.00005793305,0.0003004669,0.0003901606,0.0006044309],"domain_scores_gemma":[0.992713,0.002604117,0.0007238277,0.0005220842,0.0009864864,0.002450526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001303464,0.00415793,0.6592434,0.0001085387,0.0001655552,0.00234005,0.07045075,0.002963798,0.0005973027,0.1487432,0.0142893,0.09563659],"study_design_scores_gemma":[0.0006884605,0.005174116,0.4173613,0.001047901,0.0006975644,0.001497681,0.3570458,0.04526998,0.0009568287,0.04413712,0.1258709,0.0002523314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9491633,0.000257888,0.003848037,0.007483509,0.0002149003,0.0003831604,0.0002429179,0.00003714379,0.03836932],"genre_scores_gemma":[0.9898654,0.000280356,0.001476534,0.0006308778,0.00003469727,0.0002308342,0.0001010864,0.00001212266,0.007368137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1244662,"threshold_uncertainty_score":0.2474834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02457581883211392,"score_gpt":0.4037955363206544,"score_spread":0.3792197174885405,"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."}}