{"id":"W2549653386","doi":"","title":"Pushing the Boundaries: Examining the Role of Advisory Committees in Fringe Planning, A Kelowna Case Study","year":2011,"lang":"en","type":"article","venue":"QSpace (Queen's University Library)","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science","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":[0.02570073,0.0002931964,0.0002846419,0.002298546,0.02538683,0.008344171,0.00215606,0.003429891,0.005659194],"category_scores_gemma":[0.04525903,0.0004437315,0.0002494327,0.002411345,0.006794658,0.003651994,0.006139654,0.003402252,0.0005920809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01817022,"about_ca_system_score_gemma":0.03176301,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1963292,"about_ca_topic_score_gemma":0.4335241,"domain_scores_codex":[0.9645171,0.02635456,0.0005472502,0.0008073287,0.002716459,0.005057229],"domain_scores_gemma":[0.9292201,0.04964415,0.004171849,0.001352226,0.007053039,0.00855854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0008637542,0.001579008,0.1301965,0.0007070036,0.00008845028,0.01479583,0.434486,0.01152346,0.00395774,0.138168,0.02858786,0.2350465],"study_design_scores_gemma":[0.0001404371,0.0005015281,0.05289265,0.0007969303,0.00006649749,0.001523501,0.6870226,0.0060727,0.001725459,0.01194948,0.2372079,0.0001003054],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7984291,0.001508775,0.00690352,0.02838335,0.0001519264,0.0008190748,0.00007741887,0.00005084754,0.163676],"genre_scores_gemma":[0.9838935,0.0005041693,0.003291234,0.001210915,0.00003330207,0.0001712185,0.0000261337,0.00001342914,0.01085604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8036708,"threshold_uncertainty_score":0.3903728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09848480932020795,"score_gpt":0.322070014489053,"score_spread":0.223585205168845,"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."}}