{"id":"W3170906498","doi":"","title":"Conflict and Performance in Channels: A Meta-Analysis","year":2020,"lang":"en","type":"article","venue":"MacSphere (McMaster University)","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Laurentian University","funders":"","keywords":"Dependency (UML); Channel (broadcasting); Meta-analysis; Empirical research; Structural equation modeling; Econometrics; Psychology; Economics; Computer science; Statistics; Mathematics; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.04141598,0.002505688,0.00987446,0.00630662,0.0008786455,0.004530308,0.00232255,0.002602791,0.01007123],"category_scores_gemma":[0.1008552,0.001469508,0.05291621,0.007833521,0.001387785,0.003032292,0.002326661,0.003499655,0.0007800355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002643825,"about_ca_system_score_gemma":0.002387194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006772282,"about_ca_topic_score_gemma":0.008453737,"domain_scores_codex":[0.9509079,0.03535016,0.006112554,0.004110302,0.002739114,0.0007799197],"domain_scores_gemma":[0.8701609,0.1129504,0.008787932,0.004412932,0.002833282,0.0008545038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.002931393,0.00004340929,0.01103549,0.03420611,0.9418217,0.00009568428,0.0001503863,0.0005207618,0.0001035388,0.0004107317,0.001392383,0.007288508],"study_design_scores_gemma":[0.001643538,0.0004236106,0.008365825,0.007522058,0.9777532,0.0000879733,0.0001623135,0.0006083244,0.0001174793,0.001216782,0.002057898,0.00004088744],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.04003792,0.940852,0.009435264,0.001937788,0.001301787,0.001083849,0.003579249,0.0001345443,0.001637596],"genre_scores_gemma":[0.7369821,0.2385282,0.01198182,0.002150617,0.001046879,0.004450761,0.002513098,0.0002382821,0.002108199],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04141598,"threshold_uncertainty_score":0.2190312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07265285361304949,"score_gpt":0.197824112853757,"score_spread":0.1251712592407075,"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."}}