{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001532463,0.0007812711,0.0004173621,0.003375701,0.008310243,0.002250152,0.001748996,0.002379795,0.003165648],"category_scores_gemma":[0.003689604,0.0005772015,0.0003049317,0.00244885,0.002284289,0.001824263,0.003376495,0.001600923,0.0004940387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002814321,"about_ca_system_score_gemma":0.001976894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009174576,"about_ca_topic_score_gemma":0.03434704,"domain_scores_codex":[0.9979778,0.0006883977,0.0000935725,0.0002856922,0.0003423837,0.0006120868],"domain_scores_gemma":[0.9978384,0.0006424811,0.0003913507,0.0001467523,0.0002745824,0.0007064118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001623572,0.00213882,0.1247854,0.0004218428,0.00002541586,0.1756232,0.6229177,0.0002880767,0.003338803,0.00267762,0.003191461,0.06442928],"study_design_scores_gemma":[0.00001024801,0.0004218238,0.04095908,0.0002505801,0.0000168333,0.07135408,0.86979,0.0004281811,0.001666894,0.0004720528,0.014581,0.00004929074],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967453,0.0002051232,0.0005541834,0.0004527086,0.00001682774,0.00007145365,0.00002286176,0.000005203123,0.001926318],"genre_scores_gemma":[0.9923453,0.001005684,0.001049862,0.000285199,0.00003327974,0.00008593061,0.00005065899,0.00001345526,0.005130747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009174576,"threshold_uncertainty_score":0.02041942,"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."}}