{"id":"W7036433388","doi":"","title":"CÃ³mo valoran y usan las TecnologÃas de la InformaciÃ³n y la ComunicaciÃ³n (TIC) los profesores de alumnos con Necesidades Educativas Especiales (NEE)","year":2007,"lang":"es","type":"article","venue":"RACO (Revistes Catalanes amb Accés Obert) (Consorci de Serveis Universitaris de Catalunya)","topic":"Digital literacy in education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Organisation de Coopération et de Développement Économiques; Euskal Herriko Unibertsitatea; McGill University; Eusko Jaurlaritza; Harvard University","keywords":"Qualitative research; Discipline; Participant observation; Work (physics); Process (computing)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00370277,0.001496549,0.001417635,0.001416268,0.001015782,0.002978765,0.005417924,0.001287857,0.0002005936],"category_scores_gemma":[0.001647907,0.001710527,0.0006931865,0.002226207,0.002073174,0.00497621,0.001777411,0.001945873,0.0003683672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003159903,"about_ca_system_score_gemma":0.004253823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003200308,"about_ca_topic_score_gemma":0.000550214,"domain_scores_codex":[0.9913203,0.001513178,0.001646261,0.001647455,0.0009640587,0.002908794],"domain_scores_gemma":[0.9878799,0.005710188,0.001368863,0.002815921,0.0007474465,0.001477705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001105504,0.00392813,0.6797547,0.003987492,0.001705501,0.002165162,0.05444315,0.0008373903,0.007155683,0.1383062,0.0341575,0.07245348],"study_design_scores_gemma":[0.003931965,0.0008124094,0.4677058,0.002969634,0.001434924,0.00454131,0.02101437,0.004008097,0.02685706,0.003411062,0.4588491,0.004464347],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9459099,0.004577021,0.002573344,0.002532021,0.0006328507,0.001606436,0.0005352937,0.0006864148,0.04094678],"genre_scores_gemma":[0.9803044,0.001490909,0.009714333,0.001156086,0.0006379817,0.0000442538,0.001137396,0.0001856382,0.005329033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4246916,"threshold_uncertainty_score":0.9999632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008852924727351065,"score_gpt":0.289909422987523,"score_spread":0.281056498260172,"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."}}