{"id":"W1586287399","doi":"","title":"Concurrence sur le marche des produits et couts de delegation","year":2006,"lang":"fr","type":"article","venue":"Direction des etudes analytiques : documents de recherche","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Political science; Concurrence; Humanities; Delegation; Philosophy; Physics; Law","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006629069,0.0004016655,0.0006377057,0.0004972254,0.0003547165,0.000568922,0.000345191,0.0005857851,0.001859643],"category_scores_gemma":[0.0009438245,0.0005352734,0.0004262978,0.00139064,0.0003414444,0.001150119,0.00008488202,0.0008292643,0.0002005333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003301483,"about_ca_system_score_gemma":0.0003727606,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03139098,"about_ca_topic_score_gemma":0.008618185,"domain_scores_codex":[0.9957356,0.001461514,0.001066756,0.0007964206,0.0001474725,0.000792163],"domain_scores_gemma":[0.9979885,0.0004125802,0.0005889976,0.000418731,0.000384215,0.0002069674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001098215,0.002257165,0.5266612,0.0008689763,0.001210366,0.00003083228,0.00425347,0.006930454,0.0008768504,0.2786064,0.01383936,0.1643551],"study_design_scores_gemma":[0.001574002,0.0002564015,0.2129121,0.0007998936,0.0003624197,0.00007860346,0.0006393715,0.06145273,0.007863983,0.3468564,0.3656391,0.001565035],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5467267,0.05508802,0.2328859,0.006571918,0.0008589517,0.0006733561,0.0002073437,0.0003902892,0.1565975],"genre_scores_gemma":[0.817159,0.03836207,0.02203683,0.000556839,0.0002684969,0.0001214464,0.0001714103,0.00007429115,0.1212496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3517997,"threshold_uncertainty_score":0.9997099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1791915542491746,"score_gpt":0.3609928258189914,"score_spread":0.1818012715698168,"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."}}