{"id":"W2111901522","doi":"10.5172/impp.2006.8.3.296","title":"The impact of industry associations: Evidence from Statistics Canada data","year":2006,"lang":"en","type":"article","venue":"Innovation","topic":"Community Development and Social Impact","field":"Economics, Econometrics and Finance","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Enabling; Work (physics); Business; Knowledge management; Empirical evidence; Marketing; Industrial organization; Computer science; Engineering; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005020507,0.0003708026,0.0008130555,0.009163304,0.002281609,0.004045829,0.001726096,0.0007021774,0.008544476],"category_scores_gemma":[0.0522669,0.000363299,0.001036536,0.02610164,0.001728298,0.001209413,0.002024052,0.001439655,0.00123213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0284293,"about_ca_system_score_gemma":0.06988046,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9916243,"about_ca_topic_score_gemma":0.9925339,"domain_scores_codex":[0.9840605,0.001506468,0.0009211123,0.000990722,0.01025082,0.002270412],"domain_scores_gemma":[0.8672115,0.03333102,0.03059839,0.004040542,0.05557764,0.009240922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001197312,0.00006016777,0.94217,0.0001842302,0.0002064343,0.0001319148,0.0005595163,0.00125339,0.0000225621,0.002619337,0.03957048,0.01310208],"study_design_scores_gemma":[0.00003117687,0.00003011743,0.9675826,0.0002025771,0.0001447298,0.00005548765,0.001836179,0.001327936,0.0001409202,0.0004963385,0.02810763,0.00004428445],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6596519,0.01341181,0.001120386,0.01374817,0.0002173448,0.0002506092,0.2233679,0.0002515438,0.08798021],"genre_scores_gemma":[0.9276457,0.006367903,0.000578597,0.0008167642,0.0000766228,0.00008981613,0.05445236,0.00006217378,0.009910075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0284293,"threshold_uncertainty_score":0.20627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1534973583956623,"score_gpt":0.3224200044754353,"score_spread":0.1689226460797731,"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."}}