{"id":"W307822086","doi":"","title":"Training pre-service teachers to use technologies in teaching to students with handicaps, social maladjustments and learning difficulties.","year":2009,"lang":"en","type":"article","venue":"Information and Communication Technologies and Accessibility","topic":"Digital literacy in education","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Training (meteorology); Service (business); Mathematics education; Psychology; Computer science; Medical education; Multimedia; Medicine","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004904973,0.0001383383,0.0001580664,0.000290387,0.0003946892,0.00127862,0.0008450896,0.000103782,2.26361e-7],"category_scores_gemma":[0.0004613796,0.0001151456,0.00000763869,0.0004636205,0.00007501356,0.004522667,0.0008521772,0.0003795388,9.628151e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000671353,"about_ca_system_score_gemma":0.00001760085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007164002,"about_ca_topic_score_gemma":0.00005759146,"domain_scores_codex":[0.9990242,0.00005898557,0.0003344284,0.0002178628,0.0001833152,0.0001812174],"domain_scores_gemma":[0.9992026,0.00008897133,0.0001608852,0.0004454492,0.00006759496,0.00003447404],"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":[0.00001408255,0.00004894396,0.03924331,0.00001274007,0.000003646413,9.823738e-8,0.02503806,0.00002081405,0.00002335633,0.002064779,0.00001310197,0.933517],"study_design_scores_gemma":[0.0004108824,0.0001810158,0.9441009,0.0001200565,0.000003798011,0.00000465902,0.04836728,0.001496008,0.0001113975,0.002372761,0.002604886,0.0002263166],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851046,0.00008043606,0.006158262,0.00735454,0.00001026723,0.0004137596,0.000002048362,0.0006926359,0.0001835008],"genre_scores_gemma":[0.9721835,0.0000713949,0.02719117,0.0004662266,0.000001160894,0.0000619739,0.00001078081,0.000002467422,0.0000113191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9332908,"threshold_uncertainty_score":0.9997581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0218662325518366,"score_gpt":0.3101350091663355,"score_spread":0.2882687766144989,"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."}}