{"id":"W4230961311","doi":"10.7203/anuari.psicologia.19.2.113","title":"Construcció i validació d'instruments per avaluar competències genèriques, en educació superior","year":2019,"lang":"ca","type":"article","venue":"Anuari de Psicologia de la Societat Valenciana de Psicologia","topic":"Higher Education Teaching and Evaluation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WSP (Canada)","funders":"","keywords":"Computer science; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08332277,0.0007077054,0.0008632562,0.0068062,0.001546791,0.005866072,0.001198172,0.001311359,0.004424176],"category_scores_gemma":[0.1330869,0.0005198112,0.001547748,0.003838871,0.004072862,0.004899395,0.006184526,0.001851488,0.0007616792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004912911,"about_ca_system_score_gemma":0.01079629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003184973,"about_ca_topic_score_gemma":0.007350212,"domain_scores_codex":[0.9529463,0.02640463,0.004380261,0.002261924,0.01278847,0.001218279],"domain_scores_gemma":[0.8496541,0.1080534,0.009887226,0.01045261,0.01964775,0.002304926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000445928,0.00132792,0.2441447,0.001873287,0.0002731958,0.00009502993,0.03586544,0.001445892,0.001828554,0.06279418,0.00899061,0.6409153],"study_design_scores_gemma":[0.0005275113,0.004897153,0.7554728,0.006666158,0.0005831132,0.000497342,0.05569983,0.009615943,0.009616824,0.05196083,0.1040559,0.0004066871],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7604093,0.004010638,0.0968966,0.004240935,0.0006072301,0.009982529,0.001934724,0.0005824991,0.1213355],"genre_scores_gemma":[0.8589969,0.001332953,0.1157685,0.0006324738,0.00005676674,0.01393967,0.0008966175,0.00009055447,0.008285603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08332277,"threshold_uncertainty_score":0.4406582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01164944901630945,"score_gpt":0.33189515677848,"score_spread":0.3202457077621706,"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."}}