{"id":"W1655567335","doi":"10.3968/j.css.1923669720141001.4143","title":"Analysis of Subsidizing Capabilities of College Counselors","year":2014,"lang":"en","type":"article","venue":"Canadian social science","topic":"Advanced Statistical Modeling Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Student affairs; Humanism; Public relations; Business; Psychology; Medical education; Higher education; Political science; Medicine; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.0008197433,0.00006907431,0.0002417186,0.0005123565,0.0002268192,0.00002292795,0.001059073,0.00003745065,0.000007571003],"category_scores_gemma":[0.0004602069,0.00007258792,0.00006077621,0.003300089,0.001044871,0.000264399,0.00005619965,0.00005483207,6.792851e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002205389,"about_ca_system_score_gemma":0.0005236253,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009150112,"about_ca_topic_score_gemma":0.01459567,"domain_scores_codex":[0.9987497,0.00004018947,0.0002306471,0.0002679417,0.0003875397,0.0003239703],"domain_scores_gemma":[0.9988735,0.0001635441,0.000103908,0.0002951685,0.0003586044,0.0002052874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[4.661909e-7,0.000004138567,0.001573673,0.00000567616,0.00001008387,5.966957e-7,0.001135177,0.000041796,0.0008676263,0.9915237,0.00004733158,0.00478972],"study_design_scores_gemma":[0.0002738285,0.0002420538,0.03954852,0.00005301362,0.0002228137,0.000001945386,0.002199515,0.6007784,0.01816513,0.3330883,0.004477509,0.000948916],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04858271,0.00001281808,0.9333493,0.000191819,0.00008273157,0.00008645493,0.00008601279,0.00005270362,0.01755552],"genre_scores_gemma":[0.945576,0.000001252883,0.05428767,0.000105436,0.000009663423,0.000003305121,6.718404e-7,0.000002526721,0.00001353172],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8969932,"threshold_uncertainty_score":0.997448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01417900658032779,"score_gpt":0.2722685917499909,"score_spread":0.2580895851696631,"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."}}