{"id":"W2777748267","doi":"","title":"Canadian Policy Research Networks","year":2017,"lang":"en","type":"article","venue":"Biographies | Encyclopedia of Canadian Laws","topic":"Social Policy and Reform Studies","field":"Social Sciences","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.001323977,0.0001645437,0.0002766412,0.004537873,0.008122487,0.0002119005,0.001183069,0.0003514857,0.00006445549],"category_scores_gemma":[0.001305569,0.0001575818,0.000182467,0.002816233,0.003749977,0.0002780945,0.0000762987,0.0003242311,0.00002546053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000359316,"about_ca_system_score_gemma":0.004673105,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9997706,"about_ca_topic_score_gemma":0.9999696,"domain_scores_codex":[0.9971552,0.0002070354,0.0002580282,0.0002681714,0.0004937509,0.001617801],"domain_scores_gemma":[0.9971672,0.0001301787,0.00013012,0.000584074,0.000372642,0.001615823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007425443,0.00001474718,0.1443487,0.00001406053,0.0001102477,0.0000330844,0.01095078,0.00000189967,8.650906e-7,0.6618252,0.1671888,0.01550429],"study_design_scores_gemma":[0.0001040456,0.00002558214,0.1211924,0.00002279862,0.000009897828,3.355653e-7,0.003983106,9.049982e-7,0.000001182741,0.01299602,0.8614752,0.0001885452],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01426416,0.0006511712,2.556569e-7,0.05272696,0.0009082931,0.0003507128,0.0001128795,0.00002737119,0.9309582],"genre_scores_gemma":[0.941068,0.04259589,0.00004282858,0.0004782338,0.004107099,0.00003628539,0.000007411601,0.00002439619,0.01163985],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9268038,"threshold_uncertainty_score":0.9989613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05996153702564366,"score_gpt":0.3801038403390005,"score_spread":0.3201423033133568,"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."}}