{"id":"W6986677675","doi":"","title":"Propiedades psicométricas de la escala de Alexitimia de Toronto en universitarios de Cajamarca","year":2019,"lang":"es","type":"dissertation","venue":"renati","topic":"Emotional Intelligence and Performance","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistic; Factorial analysis; Limiting; Test (biology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001270478,0.0003837817,0.0005072781,0.001982948,0.002157909,0.001871744,0.0007620854,0.0004719725,0.003926414],"category_scores_gemma":[0.005602761,0.0003320935,0.0005510823,0.002321237,0.001424302,0.0005148697,0.002784618,0.001016207,0.0002859159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008055317,"about_ca_system_score_gemma":0.007479891,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5356249,"about_ca_topic_score_gemma":0.7402251,"domain_scores_codex":[0.9984381,0.0003201299,0.0001251166,0.000142779,0.000622038,0.0003519192],"domain_scores_gemma":[0.9949751,0.0006423872,0.001665025,0.000125063,0.001355327,0.001237121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000072733,0.0000584513,0.9800766,0.00008660782,0.00004596137,0.0001084121,0.01287389,0.00005238182,0.0003487211,0.000122505,0.0005612008,0.005592632],"study_design_scores_gemma":[0.000001538321,0.00003800797,0.9878595,0.00002746335,0.00001187455,0.00002662434,0.01146614,0.00004362597,0.00005923593,0.00001278553,0.0004450398,0.000008160308],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974917,0.0002230452,0.00004415784,0.0002749022,0.00001443426,0.00003159498,0.0002267834,0.000005874094,0.001687484],"genre_scores_gemma":[0.9983323,0.0003163864,0.0001223352,0.00003083109,0.000008670637,0.00002935861,0.0001483323,0.000002025002,0.001009836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5356249,"threshold_uncertainty_score":0.9342198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01250513415346286,"score_gpt":0.3482122348069223,"score_spread":0.3357071006534594,"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."}}