{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007042754,0.0004076261,0.0003967951,0.000169285,0.0002003176,0.0000958774,0.0006550096,0.001187028,0.003577289],"category_scores_gemma":[0.0001388284,0.0004384714,0.0002236502,0.0001825768,0.0001107599,0.0002294445,0.00004299523,0.0008158394,0.000638771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001812879,"about_ca_system_score_gemma":0.001237397,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01467372,"about_ca_topic_score_gemma":0.002131089,"domain_scores_codex":[0.9974106,0.0006632878,0.0003563253,0.0004919136,0.0002858084,0.000792061],"domain_scores_gemma":[0.9981706,0.0007913677,0.0002514872,0.0004090657,0.0001548843,0.0002225808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002156893,0.002071755,0.3580421,0.004110144,0.002265532,0.0008396542,0.1962753,0.00448204,0.007906827,0.2340624,0.06495506,0.1228322],"study_design_scores_gemma":[0.002051201,0.001180292,0.7744797,0.003251603,0.0009155368,0.000704816,0.03649877,0.01839146,0.01297372,0.006517652,0.1405212,0.00251399],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8099041,0.002659766,0.001674321,0.000370507,0.0005905202,0.0005035838,0.00009338873,0.00008572121,0.1841181],"genre_scores_gemma":[0.9286562,0.004069138,0.002296837,0.0004287749,0.0006179858,0.00003956672,0.0005516734,0.00008060229,0.06325927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4164377,"threshold_uncertainty_score":0.9998067,"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."}}