{"id":"W2273463959","doi":"","title":"Technological Collaboration and Collusion: A Trigger Strategy","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Collusion; Industrial organization; Cournot competition; Microeconomics; Competition (biology); Comparative statics; Scope (computer science); Economics; Quality (philosophy); Order (exchange); Product (mathematics); Tacit collusion; Business; Computer science","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":[0.002426697,0.00008603295,0.0001975161,0.0002737065,0.0001880999,0.00007610427,0.0001038145,0.00009557633,0.0003154734],"category_scores_gemma":[0.00005559896,0.00008412831,0.0000626804,0.0004961112,0.00006149051,0.0001293833,0.00001873843,0.0005802521,0.00008968307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002943853,"about_ca_system_score_gemma":0.0001615202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001260834,"about_ca_topic_score_gemma":0.0003689241,"domain_scores_codex":[0.9985756,0.00001331175,0.0004063888,0.0001775045,0.00004284839,0.0007843113],"domain_scores_gemma":[0.9995864,0.00001831892,0.000190541,0.00009568653,0.0000433344,0.00006569236],"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":[0.00001984466,0.00003443703,0.00449421,0.000001143499,0.00004690865,0.000003230142,0.0000221539,0.000006129116,0.00005145092,0.9892497,0.00008985931,0.005980921],"study_design_scores_gemma":[0.0006864353,0.000233068,0.005204072,0.000003874861,0.00001310909,0.0001886607,0.002013639,0.0003425831,0.00006338506,0.9560929,0.03495813,0.0002001519],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7311457,0.02116464,0.2055813,0.004360132,0.000262998,0.0001788031,0.00001204818,0.00008055102,0.03721383],"genre_scores_gemma":[0.991708,0.005047378,0.00008266917,0.0001049073,0.00008922143,0.000001985596,0.000002654204,0.00000713437,0.002956014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2605623,"threshold_uncertainty_score":0.3454213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01268280237822136,"score_gpt":0.2268770941893327,"score_spread":0.2141942918111113,"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."}}