{"id":"W7011801634","doi":"","title":"Neglected or Hidden: Connecting Employers and People with Disabilities in Canada","year":2004,"lang":"en","type":"article","venue":"eCommons (Cornell University)","topic":"Disability Education and Employment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; Face (sociological concept); Unemployment; Government (linguistics); Disabled people","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":[],"consensus_categories":[],"category_scores_codex":[0.00007340099,0.00008430905,0.0001261354,0.00007102248,0.0003088519,0.00003629121,0.0001480902,0.00003038654,0.000368643],"category_scores_gemma":[0.0001898951,0.00008239343,0.000015243,0.0006118487,0.0001561607,0.0001899571,0.00003655359,0.00009280162,0.00000452866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157998,"about_ca_system_score_gemma":0.001835866,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9701594,"about_ca_topic_score_gemma":0.9997374,"domain_scores_codex":[0.9992543,0.00009576215,0.00008747254,0.0002146609,0.0000926799,0.0002551534],"domain_scores_gemma":[0.9993451,0.0003022459,0.00003335564,0.0001316762,0.00003422709,0.0001533583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006764602,0.0001156144,0.9572509,0.00001240719,0.00001292187,0.000014702,0.02959854,0.0009407011,0.00000117856,0.01143074,0.0001962009,0.0003584616],"study_design_scores_gemma":[0.001089689,0.00009157709,0.328144,0.00004365447,0.0000185315,0.000002994955,0.6613188,0.00002271188,0.0000115208,0.00137422,0.00758978,0.0002924827],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843869,0.000006020807,0.00001812756,0.001762325,0.00009824548,0.0001683803,0.000005405894,0.0000407492,0.01351386],"genre_scores_gemma":[0.9986919,0.00001571688,0.00007283319,0.00007802669,0.0000170113,8.643253e-7,0.00000299234,0.000006221126,0.001114447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6317203,"threshold_uncertainty_score":0.4131592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03719148268930465,"score_gpt":0.2327392183489582,"score_spread":0.1955477356596536,"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."}}