{"id":"W7055622375","doi":"","title":"Dialogue summary: Implementing a policy vision for enhancing equitable access to assistive technologies in Canada","year":2020,"lang":"en","type":"other","venue":"MacSphere (McMaster University)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"AGE-WELL; McMaster University","keywords":"Key (lock); Stakeholder; Assistive technology; Universal design; Thematic analysis; Emerging technologies","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.008706284,0.0008364732,0.000557086,0.001963916,0.01450501,0.009800293,0.002738133,0.00927266,0.02339183],"category_scores_gemma":[0.009871006,0.0003743732,0.0007485618,0.002592134,0.002769568,0.002411926,0.003588818,0.006346101,0.002029057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1188041,"about_ca_system_score_gemma":0.3924202,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9787295,"about_ca_topic_score_gemma":0.9805839,"domain_scores_codex":[0.9926649,0.0006423153,0.000213864,0.0003823355,0.003990945,0.002105623],"domain_scores_gemma":[0.9900801,0.0009501757,0.0001320729,0.0001234707,0.006625062,0.002089145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003957074,0.00004151655,0.0005025161,0.0006699269,0.000009569528,0.0003056832,0.005395572,0.0009091086,0.001050822,0.05536153,0.9120678,0.02364627],"study_design_scores_gemma":[0.000006295602,0.000009601843,0.001251668,0.0002666923,0.0000076407,0.00003232936,0.003839863,0.0001646675,0.0002981249,0.001452007,0.9926412,0.00002995854],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009900628,0.01586956,0.005299565,0.4493192,0.01473137,0.001172257,0.00845709,0.0004976366,0.4947527],"genre_scores_gemma":[0.1324833,0.02152202,0.0165855,0.1548949,0.001978991,0.0008515686,0.006073522,0.0004761885,0.665134],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1188041,"threshold_uncertainty_score":0.8619878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01503751400495112,"score_gpt":0.2290421089223964,"score_spread":0.2140045949174453,"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."}}