{"id":"W7052997575","doi":"","title":"Social service accessibility in Montreal’s English-Speaking disability community: a needs-based assessment","year":2019,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Service (business); Service provider; Social Welfare; Qualitative research; Data collection","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001577011,0.000921497,0.001039526,0.0003307039,0.00103677,0.0002023581,0.001316602,0.001020416,0.0001723967],"category_scores_gemma":[0.0001790951,0.001050218,0.0003552436,0.001299011,0.00006088999,0.0008575632,0.0001184665,0.003966505,0.0001170583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002308856,"about_ca_system_score_gemma":0.00008532687,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004492644,"about_ca_topic_score_gemma":0.04060143,"domain_scores_codex":[0.9956443,0.0008615214,0.001199124,0.0007551034,0.0007170718,0.0008228754],"domain_scores_gemma":[0.996779,0.0006457853,0.0003354615,0.001547911,0.0004522224,0.0002396278],"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":[0.001835472,0.01388143,0.01925967,0.03911835,0.002274334,0.00008901414,0.006533424,0.03194923,0.1107196,0.06215218,0.0001469617,0.7120403],"study_design_scores_gemma":[0.01368267,0.0003676524,0.768079,0.003350167,0.001500196,0.000006555368,0.01607236,0.03867984,0.05385134,0.0450841,0.0481062,0.0112199],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8960118,0.0000430689,0.000002362456,0.00002559125,0.0006511325,0.001406513,0.001294576,0.0007676661,0.09979733],"genre_scores_gemma":[0.9946164,0.00002136673,0.000232492,0.0001870684,0.00007084128,0.0006715363,0.003548003,0.0002364147,0.0004158759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7488194,"threshold_uncertainty_score":0.9991948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02561972340022449,"score_gpt":0.2815184243662723,"score_spread":0.2558987009660478,"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."}}