{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001751742,0.0008169914,0.0007685939,0.001326087,0.0009632986,0.003474344,0.0009683301,0.002338585,0.005923744],"category_scores_gemma":[0.007741364,0.0004349996,0.0009407749,0.001140425,0.002655025,0.005882485,0.003043454,0.001324417,0.0005747971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001412648,"about_ca_system_score_gemma":0.001048723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005906935,"about_ca_topic_score_gemma":0.0004086932,"domain_scores_codex":[0.9980257,0.0007587587,0.00009421688,0.0002546443,0.0004321603,0.0004346195],"domain_scores_gemma":[0.9902905,0.00552539,0.00246396,0.0005314415,0.0004165097,0.0007722004],"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":[0.0003613258,0.000262981,0.009184244,0.0002790877,0.000169172,0.002848925,0.001378929,0.0468152,0.008423243,0.9057922,0.000849968,0.02363478],"study_design_scores_gemma":[0.0002684586,0.0008565012,0.006062118,0.0001707019,0.0002585441,0.003071616,0.001961911,0.2273677,0.00596792,0.747429,0.006457557,0.0001280206],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6426194,0.00181427,0.2785463,0.001937141,0.0000665079,0.0002511271,0.00008741564,0.0001302681,0.07454749],"genre_scores_gemma":[0.9910839,0.0006548979,0.005496174,0.00006747636,0.00004017464,0.00004056227,0.00001649196,0.000007291527,0.002593078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005923744,"threshold_uncertainty_score":0.01981694,"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."}}