{"id":"W4384203379","doi":"10.1515/9780773596535-018","title":"The Impasse of the Federal State and Canadian Industrial R&amp;D","year":2014,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"State (computer science); Political science; Computer 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003706054,0.0007395282,0.0007425025,0.004094818,0.01505396,0.01340508,0.001724846,0.006091652,0.0194319],"category_scores_gemma":[0.009671897,0.0007422995,0.000829172,0.005558147,0.008597894,0.004207273,0.002492023,0.005762355,0.002221171],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1792216,"about_ca_system_score_gemma":0.2798512,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9921396,"about_ca_topic_score_gemma":0.9963982,"domain_scores_codex":[0.99223,0.000513125,0.0001064268,0.0005019357,0.004451728,0.002196775],"domain_scores_gemma":[0.9945082,0.0006424946,0.0001213503,0.0002583551,0.003157306,0.001312175],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000496667,0.00001896045,0.001018793,0.00006105491,0.00001521895,0.00007130082,0.001037811,0.0003674803,0.0001463885,0.6155902,0.3347565,0.04686662],"study_design_scores_gemma":[0.00001128283,0.000007783503,0.003323016,0.0001475884,0.00001443365,0.00002991826,0.000860033,0.0002862327,0.0001595536,0.02604746,0.9690781,0.00003462538],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01013807,0.02922681,0.001492636,0.2720062,0.004202988,0.00004575854,0.001185662,0.0002101505,0.6814917],"genre_scores_gemma":[0.2232158,0.02368228,0.003332142,0.03766325,0.0009617527,0.00004291495,0.0004102018,0.0002795576,0.7104121],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.996294,"threshold_uncertainty_score":0.9519867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0455715129772038,"score_gpt":0.1773740457624629,"score_spread":0.1318025327852591,"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."}}