{"id":"W4287626514","doi":"10.5281/zenodo.5161247","title":"Assessment of price formation and market power along the food chains","year":2020,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Leibniz-Gemeinschaft; European Commission","keywords":"Market power; Power (physics); Business; Agricultural economics; Commerce; Economics; Industrial organization; Food science; Microeconomics; Chemistry; Thermodynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001533607,0.0002918928,0.000264904,0.001734063,0.0002788356,0.00263711,0.0004047198,0.0006231139,0.005499149],"category_scores_gemma":[0.006000236,0.0002520449,0.0003287303,0.001876003,0.0006938666,0.002737213,0.0008989564,0.0004702034,0.00045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001019707,"about_ca_system_score_gemma":0.0002888459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003064165,"about_ca_topic_score_gemma":0.001586214,"domain_scores_codex":[0.9991238,0.0002365283,0.00003373472,0.0001705484,0.0003406803,0.00009486415],"domain_scores_gemma":[0.9974362,0.001556298,0.000425538,0.0001109792,0.0003773349,0.00009373423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0007649885,0.000313336,0.2562267,0.0006559366,0.0004346772,0.003079843,0.007163517,0.3914309,0.02169732,0.1616644,0.00296432,0.1536041],"study_design_scores_gemma":[0.00006693742,0.0006477788,0.2318622,0.000162353,0.0001361317,0.0006394793,0.009602385,0.6641101,0.009724738,0.06742352,0.01549247,0.0001319359],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9464194,0.0002180586,0.02518926,0.0002448638,0.00001181648,0.0001245148,0.0005623047,0.00005415142,0.02717557],"genre_scores_gemma":[0.9940637,0.0001152297,0.003425389,0.000009965003,0.000009398002,0.00003215994,0.0002240515,0.00001925302,0.002100863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005499149,"threshold_uncertainty_score":0.0183965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04242189354744371,"score_gpt":0.2479484523331263,"score_spread":0.2055265587856825,"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."}}