{"id":"W2956045592","doi":"10.5539/hes.v9n3p52","title":"Revisiting the Tinto's Theoretical Dropout Model","year":2019,"lang":"en","type":"article","venue":"Higher Education Studies","topic":"Higher Education Research Studies","field":"Social Sciences","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Dropout (neural networks); Context (archaeology); Mathematics education; Higher education; Process (computing); Psychology; Relation (database); Institution; Computer science; Sociology; Social science; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001412162,0.0001693775,0.0002508439,0.00008760148,0.001289658,0.0001490745,0.0004247352,0.00006333709,0.002354625],"category_scores_gemma":[0.000447423,0.0001151506,0.00009168269,0.0005091021,0.00126836,0.0001888031,0.0001717743,0.0002384878,0.001849832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002824176,"about_ca_system_score_gemma":0.0006940985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000151937,"about_ca_topic_score_gemma":0.00002762807,"domain_scores_codex":[0.9976977,0.0004328747,0.0002920751,0.0003546872,0.0007394169,0.0004832473],"domain_scores_gemma":[0.9973455,0.0009783532,0.0001213011,0.0004428081,0.000995193,0.00011686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004957893,0.00005117441,0.01491771,0.00003275069,0.00008473171,6.802272e-8,0.02345414,0.00001373459,0.00003589367,0.9001951,0.06022754,0.0009822497],"study_design_scores_gemma":[0.00009841924,0.00000814021,0.01433786,0.00006965584,0.00003358827,3.209078e-7,0.04691851,0.00001689796,0.0000070776,0.02989192,0.9084118,0.0002058293],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4373185,0.009498925,0.00004112318,0.1866547,0.003816263,0.0008053185,0.00000420179,0.0001936212,0.3616674],"genre_scores_gemma":[0.7848936,0.001038217,0.0006850117,0.001559675,0.001584206,0.0002114216,0.000003398686,0.0000169491,0.2100075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8703031,"threshold_uncertainty_score":0.9989274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0809558806872078,"score_gpt":0.4749301780644514,"score_spread":0.3939742973772437,"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."}}