{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002420932,0.0005999875,0.0004085992,0.001711709,0.0007465389,0.0007573568,0.0007464073,0.0004342427,0.00409305],"category_scores_gemma":[0.006875206,0.0002329903,0.0007663786,0.001085816,0.0003824282,0.00064018,0.0008647796,0.001081634,0.001217855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008918117,"about_ca_system_score_gemma":0.001629305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003313676,"about_ca_topic_score_gemma":0.004482427,"domain_scores_codex":[0.9983999,0.0002931621,0.0002054813,0.0001054898,0.0008719453,0.0001240346],"domain_scores_gemma":[0.9973271,0.0004263538,0.000327223,0.0001037713,0.001651042,0.0001645764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006032591,0.001429297,0.5275952,0.0005418931,0.0002995962,0.000226067,0.005855983,0.001464542,0.003789588,0.006308643,0.0321666,0.4197194],"study_design_scores_gemma":[0.0002590812,0.001666592,0.8962697,0.0002472316,0.0001781677,0.0006695087,0.005007815,0.002872191,0.002901501,0.00287443,0.08696593,0.00008796166],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9127968,0.001454788,0.008505227,0.001790953,0.0006843167,0.00322838,0.003484983,0.0002676939,0.06778686],"genre_scores_gemma":[0.9469008,0.001379905,0.02880562,0.0008658447,0.0002010625,0.004697912,0.004653464,0.00005682414,0.01243866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00409305,"threshold_uncertainty_score":0.01369262,"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."}}