{"id":"W4250283398","doi":"10.32920/ryerson.14661441","title":"The dynamic competition hypothesis","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Competition (biology); Social network (sociolinguistics); Voting; Dynamic network analysis; Social network analysis; Computer science; Game theory; Microeconomics; Economics; Political science; Politics; Social media","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001021629,0.000139726,0.0001577605,0.00001287789,0.0002816452,0.0003816783,0.0002567085,0.00006954296,0.0004860526],"category_scores_gemma":[0.000004983175,0.0001043365,0.0001944829,0.00004636063,0.00006647843,0.0000282924,0.000331568,0.0003257266,0.00003593178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003211268,"about_ca_system_score_gemma":0.0001219196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004153376,"about_ca_topic_score_gemma":0.00007562354,"domain_scores_codex":[0.9992505,0.0000518192,0.000186695,0.0002234769,0.00012594,0.0001615691],"domain_scores_gemma":[0.9992689,0.0001316845,0.0001056479,0.0003611555,0.00009444517,0.00003811853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004133425,0.0001195867,0.003727088,0.00003576637,0.0003294695,0.000001659812,0.0004072184,0.001503512,0.0001009628,0.9076988,0.0005547557,0.08551705],"study_design_scores_gemma":[0.0005690547,0.00003249226,0.04580955,0.0004311599,0.0001555413,9.35376e-7,0.009853007,0.1017968,0.0002789574,0.8045072,0.03470111,0.001864214],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6664817,0.0005514221,0.05569868,0.005808696,0.00420593,0.0007517782,0.000271738,0.0001601015,0.2660699],"genre_scores_gemma":[0.996016,0.00008234171,0.0006896131,0.00007161254,0.0001658204,0.00004611491,0.0001256642,0.00001471469,0.002788173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3295342,"threshold_uncertainty_score":0.5321935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01235658659329936,"score_gpt":0.2605287796923221,"score_spread":0.2481721930990227,"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."}}