{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001843316,0.0005914239,0.0007972954,0.0009199529,0.001057935,0.002033171,0.001685321,0.001944926,0.0108507],"category_scores_gemma":[0.007836387,0.0002467195,0.0005745068,0.0009257336,0.002933433,0.004833991,0.001653465,0.001226491,0.001354103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009744058,"about_ca_system_score_gemma":0.0007809239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001396507,"about_ca_topic_score_gemma":0.0006192438,"domain_scores_codex":[0.9986781,0.0004344576,0.00003426884,0.0003528764,0.0002886421,0.0002114621],"domain_scores_gemma":[0.9962783,0.001972431,0.0006877073,0.0002727532,0.0003116169,0.000477153],"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":[0.00003595273,0.00004973453,0.002803614,0.00008620114,0.00004468155,0.0002492308,0.000210496,0.01286366,0.0008097898,0.9679506,0.005023692,0.009872308],"study_design_scores_gemma":[0.00008532071,0.0001248362,0.001907293,0.00003298875,0.00002103053,0.0004302062,0.0002243832,0.1116004,0.0003809831,0.869065,0.01609445,0.00003302007],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2844005,0.003237771,0.4871188,0.01689957,0.0008767087,0.0003365879,0.001266119,0.0002635751,0.2056004],"genre_scores_gemma":[0.9756485,0.0007236752,0.01061632,0.001046242,0.0006364635,0.0003083457,0.0002455105,0.00002296191,0.01075204],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0108507,"threshold_uncertainty_score":0.03629923,"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."}}