{"id":"W2495691289","doi":"","title":"Universitat i inclusió: contribució a l'establiment d'indicadors de canvi","year":2016,"lang":"ca","type":"dissertation","venue":"TDX (Tesis Doctorals en Xarxa)","topic":"Inclusive Education and Diversity","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Context (archaeology); Political science; Philosophy; Geography; Archaeology","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":[0.02425939,0.0005580604,0.00057558,0.00472856,0.01278978,0.02606029,0.002710535,0.003217119,0.01433638],"category_scores_gemma":[0.05631323,0.0004624195,0.0004301052,0.004978425,0.03151849,0.01583984,0.0186577,0.007392461,0.001268775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01719427,"about_ca_system_score_gemma":0.01857052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01484419,"about_ca_topic_score_gemma":0.01884228,"domain_scores_codex":[0.9747019,0.01514081,0.0008922994,0.002300613,0.004456624,0.002507891],"domain_scores_gemma":[0.9506246,0.02105385,0.007062871,0.004399067,0.008512456,0.008347134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00006261757,0.00008441637,0.01232314,0.0002197374,0.00002313984,0.0001458024,0.2539503,0.0001289706,0.00033437,0.6779258,0.007615174,0.04718649],"study_design_scores_gemma":[0.00002930528,0.0001729599,0.03366715,0.001662905,0.00007040362,0.0002479908,0.3859533,0.0009076321,0.001511102,0.1600635,0.4155558,0.0001577906],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2930318,0.007188985,0.02449212,0.09106314,0.0007143152,0.0001527986,0.0001619063,0.0003992629,0.5827957],"genre_scores_gemma":[0.9801623,0.0008344323,0.002447157,0.002325463,0.0001006098,0.00007858343,0.00003966563,0.0001028177,0.01390901],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02606029,"threshold_uncertainty_score":0.1282974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01164941985428318,"score_gpt":0.3365549781014848,"score_spread":0.3249055582472016,"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."}}