{"id":"W2998621183","doi":"","title":"Finish It and It’s Free: An Evaluation of College Graduation Subsidies","year":2019,"lang":"en","type":"article","venue":"Carleton University's Institutional Repository (MacOdrum Library, Carleton University)","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Graduation (instrument); Subsidy; Dropout (neural networks); Higher education; Demographic economics; Economics; Persistence (discontinuity); Labour economics; Political science; Business; Economic growth; Engineering","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0005186974,0.0002797216,0.000394279,0.0007267991,0.001831103,0.00008842359,0.0006889401,0.0002846097,0.0002968663],"category_scores_gemma":[0.0001400737,0.0003523261,0.0001801771,0.00111027,0.001212993,0.003749191,0.0003145076,0.0002293335,0.00001250306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006418913,"about_ca_system_score_gemma":0.002066843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001347526,"about_ca_topic_score_gemma":0.0009172686,"domain_scores_codex":[0.9965481,0.0008564218,0.0003000137,0.0006444293,0.001285964,0.000365052],"domain_scores_gemma":[0.9979086,0.0002908018,0.0003351516,0.0004385316,0.0007312947,0.0002956038],"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":[0.0006679149,0.0003509662,0.0904751,0.0001299795,0.0004908809,0.0002600526,0.0167102,0.001705508,0.00157579,0.8550405,0.031186,0.00140712],"study_design_scores_gemma":[0.004376421,0.0002999527,0.02671346,0.0001838323,0.0006455194,0.00001772363,0.09516855,0.001409535,0.001635937,0.0009397699,0.8677709,0.0008384729],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5634329,0.0002100577,0.00009858323,0.002008985,0.0009563938,0.0006001084,0.0002073009,0.0001422128,0.4323435],"genre_scores_gemma":[0.9545872,0.0005581584,0.0002084284,0.0001923446,0.0002108271,7.423265e-7,0.0001091822,0.00001627769,0.04411685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8541007,"threshold_uncertainty_score":0.9998929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02885304663959784,"score_gpt":0.2364893322457392,"score_spread":0.2076362856061414,"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."}}