{"id":"W2508332575","doi":"","title":"Could there be Unintended Effects of Government Support for Seafood Traceability Implementation on Business Planning? Results of a Survey among Italian Fishery Businesses","year":2016,"lang":"en","type":"article","venue":"Journal of Fisheriessciences.com","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Traceability; Government (linguistics); Unintended consequences; Business; Sample (material); Control (management); Order (exchange); Marketing; Public economics; Economics; Finance; Engineering","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":[0.004248811,0.000150651,0.0001377962,0.0006772343,0.0003315604,0.0007693612,0.0004020017,0.000628344,0.002548308],"category_scores_gemma":[0.02159801,0.0001629485,0.0004002711,0.0007648676,0.0008067222,0.0006248432,0.0007909687,0.0007342293,0.0003405631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009567195,"about_ca_system_score_gemma":0.00124954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01000627,"about_ca_topic_score_gemma":0.01127764,"domain_scores_codex":[0.9966753,0.001430478,0.0003076658,0.0002608224,0.0008351427,0.0004906593],"domain_scores_gemma":[0.9640951,0.01460564,0.01551828,0.002778572,0.001613057,0.001389395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009078629,0.000191998,0.9835148,0.00004015258,0.00001776856,0.0001288247,0.004318409,0.0001513923,0.0003414731,0.0001609648,0.0002158937,0.01082765],"study_design_scores_gemma":[0.00000405655,0.0001879889,0.9948357,0.00002788735,0.00001206893,0.00005499046,0.003855476,0.0001907906,0.000157198,0.00005465382,0.0006134794,0.000005727422],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984776,0.00003221304,0.00006505972,0.0002844918,0.00000222547,0.000009761763,0.00004112565,0.000001706528,0.001085778],"genre_scores_gemma":[0.9995095,0.00005016343,0.00006892475,0.0000591817,0.000005738245,0.0000148846,0.00004579082,9.674991e-7,0.0002448047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01000627,"threshold_uncertainty_score":0.02247012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0406779063895449,"score_gpt":0.2744225955068151,"score_spread":0.2337446891172702,"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."}}