{"id":"W7097007457","doi":"","title":"Targeting Reemployment Services in Canada: The Service and Outcome Measurement System (SOMS) Experience,”in Targeting Employment Services","year":2002,"lang":"en","type":"article","venue":"","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Service (business); Best practice; Information system; Outcome (game theory); Human services; Training (meteorology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005682891,0.0003926797,0.0002962326,0.001198048,0.00274614,0.001900554,0.0008849832,0.0004021176,0.001084863],"category_scores_gemma":[0.008562924,0.0002619622,0.0003366279,0.00429606,0.0009591308,0.001005155,0.001330285,0.0008124351,0.0001868495],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04168832,"about_ca_system_score_gemma":0.08570962,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9891515,"about_ca_topic_score_gemma":0.9953375,"domain_scores_codex":[0.9976138,0.0007076309,0.000117721,0.0002056333,0.001006743,0.0003484877],"domain_scores_gemma":[0.9949313,0.0007619458,0.0002356708,0.0002021176,0.003062401,0.0008066416],"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":[0.0005697565,0.0002949882,0.4001457,0.0003516088,0.000128591,0.0001423116,0.006268679,0.009289416,0.001151216,0.008386376,0.05079285,0.5224785],"study_design_scores_gemma":[0.0002070142,0.0004764953,0.7520367,0.0004591751,0.0001623287,0.0001571606,0.01162904,0.06468417,0.004842511,0.003761065,0.1613979,0.0001864988],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8746707,0.006072201,0.02715728,0.03809127,0.000316798,0.001087899,0.0163417,0.001141838,0.03512036],"genre_scores_gemma":[0.9214916,0.00299092,0.05812173,0.001554213,0.00004800664,0.0003522389,0.005690479,0.000104817,0.009646112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9583117,"threshold_uncertainty_score":0.3024714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1564931723007015,"score_gpt":0.3178478457484762,"score_spread":0.1613546734477748,"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."}}