{"id":"W4235312020","doi":"10.12968/sece.2008.6.1212","title":"Inclusive technology","year":2008,"lang":"en","type":"article","venue":"SecEd","topic":"Mathematics Education and Programs","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Future Earth","funders":"","keywords":"Sociology; Engineering ethics; Engineering","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":[0.001189833,0.0004148572,0.0002939398,0.0007421973,0.004957821,0.007585245,0.0007591568,0.002906623,0.04465212],"category_scores_gemma":[0.002677838,0.0001976454,0.0004726068,0.000676912,0.002394816,0.008725693,0.006476019,0.003061329,0.01176173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001342411,"about_ca_system_score_gemma":0.001386494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009120057,"about_ca_topic_score_gemma":0.002837825,"domain_scores_codex":[0.9987761,0.0003267934,0.00003321934,0.0001210233,0.0005618664,0.0001809057],"domain_scores_gemma":[0.9987973,0.0004248235,0.00006463225,0.0001558054,0.0002498182,0.0003076212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004901787,0.0001258456,0.0008003299,0.0002910719,0.000009182489,0.0006531975,0.01159568,0.0001044723,0.001937056,0.4534676,0.2665003,0.2644662],"study_design_scores_gemma":[0.000002116494,0.000021268,0.0003287758,0.0001272598,0.000002821963,0.0003111477,0.003812389,0.00005222059,0.0004012418,0.02092066,0.9740131,0.000006959293],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.006172901,0.00832791,0.01371419,0.04060977,0.005854738,0.00004907026,0.00003162862,0.0002613477,0.9249785],"genre_scores_gemma":[0.07905348,0.006814966,0.004753292,0.01953774,0.00126575,0.0001304816,0.00005390722,0.0001875182,0.888203],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04465212,"threshold_uncertainty_score":0.1493763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05354267376383409,"score_gpt":0.3598373002847473,"score_spread":0.3062946265209132,"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."}}