{"id":"W7097709616","doi":"","title":"REVIEWERS – ĒVALUATEURS","year":2006,"lang":"en","type":"article","venue":"","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Section (typography); Subject (documents); Data collection; Government (linguistics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.03692211,0.001867034,0.002702975,0.009252042,0.006960653,0.01158131,0.003827795,0.008617572,0.2071695],"category_scores_gemma":[0.2004196,0.00122228,0.001652288,0.003231454,0.002537837,0.004282173,0.004227107,0.004673808,0.1258359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01131698,"about_ca_system_score_gemma":0.02940804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02902892,"about_ca_topic_score_gemma":0.05652045,"domain_scores_codex":[0.9468228,0.01118121,0.005743389,0.005658451,0.02786046,0.002733739],"domain_scores_gemma":[0.5479491,0.0134875,0.01238782,0.01522517,0.3927795,0.01817096],"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":[0.00008518363,0.00001516039,0.000226918,0.000238289,0.00001151626,0.00006173498,0.0001559953,0.00003118835,0.0004897666,0.0007751111,0.9836289,0.01428014],"study_design_scores_gemma":[0.0000381647,0.00001590516,0.000880808,0.0002671649,0.00001453387,0.00004912122,0.0002052827,0.0001487436,0.0004340706,0.00054799,0.997371,0.00002725007],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00336477,0.01071099,0.009044652,0.1982965,0.6333904,0.006557894,0.01008065,0.003080434,0.1254736],"genre_scores_gemma":[0.01859034,0.003757609,0.007469335,0.03028641,0.0850889,0.004023303,0.00523936,0.002323584,0.8432212],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7928305,"threshold_uncertainty_score":0.6930509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02249672415812781,"score_gpt":0.3129538821378833,"score_spread":0.2904571579797555,"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."}}