{"id":"W4402076448","doi":"10.4085/1947-380x-24-001","title":"Lecture-Based Instruction on Salary Negotiation for Professional Athletic Training Students: An Educational Technique","year":2024,"lang":"en","type":"article","venue":"Athletic Training Education Journal","topic":"Athletic Training and Education","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athletic Edge Sports Medicine","funders":"","keywords":"Athletic training; Salary; Negotiation; Medical education; Psychology; Professional development; College athletics; Athletes; Pedagogy; Medicine; Sociology; Political science; Physical therapy","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","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003370408,0.0004756474,0.0004317963,0.0009124985,0.002275009,0.0002745686,0.0005026697,0.0004954382,0.001272076],"category_scores_gemma":[0.001658967,0.0004397679,0.0002412667,0.0006470052,0.0001436474,0.0005571995,0.00002553697,0.00203746,0.0001307603],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001047019,"about_ca_system_score_gemma":0.01663019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001359372,"about_ca_topic_score_gemma":0.000008252221,"domain_scores_codex":[0.9951378,0.0009353778,0.001294024,0.000786805,0.0009238365,0.000922151],"domain_scores_gemma":[0.9958581,0.001797643,0.0005737024,0.0004355258,0.000683304,0.0006516788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005055458,0.002145439,0.005513318,0.001073872,0.0002573161,0.000005879971,0.1750586,0.001225755,0.003339267,0.03530654,0.04576646,0.729802],"study_design_scores_gemma":[0.009503086,0.004534746,0.2122997,0.02963637,0.001127143,0.001268964,0.1557142,0.01172476,0.0005099124,0.170643,0.3991407,0.003897402],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7666765,0.001194914,0.1188611,0.04824924,0.05538896,0.005034255,0.00008140659,0.0009461617,0.00356745],"genre_scores_gemma":[0.9569617,0.00002162373,0.0251174,0.004383914,0.008357272,0.002620215,0.0005743796,0.0001587584,0.001804777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7259046,"threshold_uncertainty_score":0.9998054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09092258971601354,"score_gpt":0.473015565741015,"score_spread":0.3820929760250015,"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."}}