{"id":"W6928874280","doi":"10.3886/e192366","title":"Data and Code for: CAN FINANCIAL INCENTIVES TO FIRMS IMPROVE APPRENTICE TRAINING? EXPERIMENTAL EVIDENCE FROM GHANA","year":2024,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Apprenticeship; Payment; Incentive; Quality (philosophy); Test (biology); Control (management); Scheme (mathematics); Code (set theory)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001585801,0.001200733,0.0007398239,0.003807039,0.0006468731,0.001384186,0.001832117,0.001742895,0.04390792],"category_scores_gemma":[0.008542311,0.0005147809,0.0007954524,0.005719485,0.0004833273,0.0009885507,0.001333634,0.001511674,0.03876927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001335805,"about_ca_system_score_gemma":0.002094529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05619226,"about_ca_topic_score_gemma":0.08439819,"domain_scores_codex":[0.9991494,0.0001733502,0.00009120221,0.0001825329,0.0002464226,0.0001570426],"domain_scores_gemma":[0.9952289,0.001736312,0.001042388,0.0006932547,0.0009473413,0.0003518855],"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":[0.0001432933,0.00008833553,0.007000025,0.0009371394,0.0000367097,0.00006839242,0.00008044684,0.0007172495,0.0001355155,0.0007558769,0.9847103,0.005326817],"study_design_scores_gemma":[0.0009446943,0.00005386596,0.03746966,0.0006999451,0.00005170979,0.00008930681,0.0003680649,0.001144021,0.0005592737,0.001583927,0.9569973,0.00003831525],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008278867,0.0001260169,0.00007647057,0.0002271254,0.00001905227,0.00001993435,0.9978734,0.0001550916,0.0006749688],"genre_scores_gemma":[0.00228629,0.00009877114,0.0004214856,0.00007136432,0.00001030818,0.0001681008,0.9954897,0.00005605174,0.001397893],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05619226,"threshold_uncertainty_score":0.1468866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1406671030914235,"score_gpt":0.3573323712497027,"score_spread":0.2166652681582792,"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."}}