{"id":"W2188858094","doi":"10.28945/1677","title":"Development of Iranian Computer Attitude Scale","year":2012,"lang":"en","type":"article","venue":"Informing Science and IT Education Conference","topic":"Gender and Technology in Education","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Multidisciplinary approach; Scale (ratio); Association (psychology); Computer science; Engineering ethics; Management science; Data science; Psychology; Sociology; Social science; Engineering; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001151945,0.00005267783,0.00006402242,0.0001629874,0.0006230327,0.00006125975,0.0002547538,0.00004623723,0.00006000473],"category_scores_gemma":[0.0001084197,0.00005080607,0.000007956115,0.0003970506,0.0007623032,0.000900189,0.00004405371,0.00005472545,0.00002285251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008018472,"about_ca_system_score_gemma":0.003554104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001479169,"about_ca_topic_score_gemma":0.0001703316,"domain_scores_codex":[0.9991416,0.000009879514,0.0001723182,0.0001049315,0.0003188366,0.0002524116],"domain_scores_gemma":[0.9992624,0.00002077121,0.00008626276,0.0001083901,0.0003986817,0.0001234849],"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":[0.000001092334,0.0001189368,0.0832635,0.00001558328,0.000002531882,7.131581e-9,0.2659689,1.606402e-7,0.00098169,0.07537658,0.0004648076,0.5738062],"study_design_scores_gemma":[0.000138967,0.00003180628,0.4737264,0.0001148067,0.00001255373,0.000006253554,0.1965025,0.00006123446,0.01032054,0.001419684,0.3173166,0.0003487635],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9571426,0.00002919556,0.001103454,0.001659161,0.0009324238,0.0001126209,2.639224e-7,0.00002565193,0.03899464],"genre_scores_gemma":[0.9765693,0.00001653668,0.02276426,0.0002961927,0.00009653866,0.00001173359,0.000001025164,0.000001392156,0.0002430121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5734575,"threshold_uncertainty_score":0.6304827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04936852390430192,"score_gpt":0.3596742249786589,"score_spread":0.310305701074357,"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."}}