{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001077116,0.0005062086,0.0006168656,0.0001312202,0.0002654086,0.0009296945,0.004791789,0.0002802259,0.0004186542],"category_scores_gemma":[0.001649762,0.0004885748,0.00004927848,0.0002079067,0.0002743622,0.001092331,0.00528223,0.0003329907,0.0004658268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001114634,"about_ca_system_score_gemma":0.0003428678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002365859,"about_ca_topic_score_gemma":0.002807909,"domain_scores_codex":[0.9955853,0.00009194629,0.0005900796,0.002632454,0.0005481961,0.0005520088],"domain_scores_gemma":[0.9945865,0.0003920978,0.0002121162,0.004444971,0.00006361374,0.000300645],"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":[0.00009203754,0.00005987446,0.000004486194,0.0001217058,0.00002112074,0.00001145102,0.001326189,8.361939e-7,0.09690122,0.000004820449,0.9010548,0.0004014701],"study_design_scores_gemma":[0.0003243107,0.0001036546,0.00002144567,0.0004904464,0.0001892106,0.000004537337,0.001110403,0.001463546,0.02434261,0.00004108919,0.9712711,0.0006376527],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1324493,0.002137065,0.0002402113,0.0004640932,0.002208699,0.0008167032,0.8615944,0.0000869428,0.000002527274],"genre_scores_gemma":[0.01913179,0.0002400961,0.002756896,0.00059765,0.0005607511,0.0001252245,0.9764697,0.00004731833,0.00007058155],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1148752,"threshold_uncertainty_score":0.9997566,"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."}}