{"id":"W2967280828","doi":"","title":"Overcoming Systemic Barriers to","year":2014,"lang":"en","type":"article","venue":"Alternate routes","topic":"School Health and Nursing Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Systemic risk; Business; Computer science; Economics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007773875,0.0001069743,0.0001713391,0.0001103362,0.0005879154,0.00001279524,0.0001878038,0.00008669158,0.0002396903],"category_scores_gemma":[0.0009566786,0.00009701726,0.00003002251,0.0001335776,0.00001010874,0.00009722303,0.00003762791,0.0002809683,0.002020746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002278051,"about_ca_system_score_gemma":0.0002161907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009923717,"about_ca_topic_score_gemma":0.0000632899,"domain_scores_codex":[0.9984528,0.0003111682,0.0003372974,0.0002320029,0.0001597941,0.000506883],"domain_scores_gemma":[0.9984153,0.0004017804,0.0001155565,0.0003167876,0.00008533469,0.0006652612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002081853,0.00002392782,0.8852192,0.0005656766,0.00002259852,0.00000160383,0.01402082,0.00005900269,0.00230436,0.008816035,0.07153894,0.01721966],"study_design_scores_gemma":[0.004272615,0.0006525556,0.264994,0.006388251,0.0001056037,0.00004044138,0.01700921,0.003909258,0.002695207,0.00992858,0.6885558,0.001448438],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769643,0.00008257345,0.0009577028,0.004756567,0.005732046,0.0004383798,0.000004048009,0.0001518891,0.01091249],"genre_scores_gemma":[0.9878048,0.00001419104,0.0005202405,0.007636294,0.001233376,0.0001040381,0.000006592698,0.00002515405,0.00265534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6202251,"threshold_uncertainty_score":0.9987563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03705927172572489,"score_gpt":0.4040919603675995,"score_spread":0.3670326886418747,"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."}}