{"id":"W2115672703","doi":"10.5430/wje.v4n6p26","title":"Profiling Neurolanguage Coaches Worldwide – A Case Study","year":2014,"lang":"en","type":"article","venue":"World Journal of Education","topic":"Educational and Psychological Assessments","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Profiling (computer programming); Coaching; Psychology; Statistical analysis; Mathematics education; Computer science","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":[0.0008338555,0.0001167006,0.0001818663,0.0003133023,0.00009230561,0.00004322443,0.00018697,0.00002900536,0.000738927],"category_scores_gemma":[0.0001027135,0.00009161241,0.00007690228,0.0003791863,0.00002689538,0.0001166468,0.00001397482,0.0003179207,0.00007453644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000384934,"about_ca_system_score_gemma":0.00011191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009632485,"about_ca_topic_score_gemma":0.00007827026,"domain_scores_codex":[0.99858,0.0004068568,0.000477908,0.0001754316,0.0001955742,0.0001642141],"domain_scores_gemma":[0.9987023,0.0003209775,0.0004298721,0.0002214713,0.0001907214,0.0001346633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001265805,0.007316785,0.8736717,0.00001271373,0.0001271534,0.0003240984,0.008717847,0.000010371,0.0002180663,0.005927629,0.01167851,0.09186855],"study_design_scores_gemma":[0.001936332,0.001619206,0.806927,0.00007897145,0.0002305735,0.01058614,0.1325276,0.00001187349,0.00004853969,0.004599708,0.04101891,0.0004151572],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9670745,0.0002900814,0.0001625319,0.001229397,0.004319492,0.0002069165,6.889179e-7,0.0000120841,0.02670432],"genre_scores_gemma":[0.9903425,0.000001264432,0.001317433,0.001024451,0.00131555,0.00002717297,0.000002559131,0.00001316868,0.005955902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1238097,"threshold_uncertainty_score":0.8090732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04863449910385208,"score_gpt":0.4106144692204682,"score_spread":0.3619799701166161,"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."}}