{"id":"W7047413925","doi":"","title":"Factor market distortions : input subsidies and compensation","year":2002,"lang":"en","type":"article","venue":"Arizona State University Library Digital Repository (Arizona State University)","topic":"Superconducting and THz Device Technology","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Production (economics); Commodity; Compensation (psychology); Distortion (music); Factor market; Agriculture","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00002116403,0.000343354,0.0003228531,0.0005113772,0.0007193169,0.0002407381,0.0004062248,0.00009192646,0.0004367],"category_scores_gemma":[0.000006172776,0.0004198008,0.0001544531,0.0005945401,0.0004748768,0.004390119,0.0004338294,0.0003527388,0.00005068015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001039214,"about_ca_system_score_gemma":0.00007134736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003790978,"about_ca_topic_score_gemma":0.00002314,"domain_scores_codex":[0.998417,0.00009911401,0.0002212924,0.0006214345,0.0001946467,0.0004465162],"domain_scores_gemma":[0.9989255,0.000177689,0.0001773751,0.000381798,0.00007215942,0.0002654647],"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":[0.0001710917,0.000647426,0.9228313,0.0000668139,0.0007654074,0.0008919138,0.003755749,0.00004638989,0.0008490306,0.02931794,0.006558915,0.03409802],"study_design_scores_gemma":[0.006043564,0.001005808,0.07491133,0.0001942788,0.0003839295,0.00009705714,0.05980975,0.00203927,0.00423064,0.008483478,0.8393953,0.003405535],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8672358,0.00004251613,0.0007308951,0.0002666451,0.0001741282,0.0001917976,0.0005807889,0.0004520556,0.1303254],"genre_scores_gemma":[0.9050637,0.0000619948,0.0001876396,0.00001762945,0.00003600513,2.076226e-7,0.0001016815,0.00003136745,0.09449977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.84792,"threshold_uncertainty_score":0.9998254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008860653331769379,"score_gpt":0.1550264139677516,"score_spread":0.1461657606359822,"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."}}