{"id":"W2992814099","doi":"","title":"A Comparative Analysis of Market Orientation in the Commercial Fish Processing Industries of Atlantic Canada and The New England States","year":2011,"lang":"en","type":"article","venue":"Journal of Marketing Development and Competitiveness","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Market orientation; Fish processing; Orientation (vector space); Fish <Actinopterygii>; Exploratory research; Exploratory analysis; New england; Industrial organization; Fishery; Business; Marketing; Regional science; Economic geography; Economics; Geography; Computer science; Biology; Sociology; Market economy; Data science; Anthropology","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":[],"consensus_categories":[],"category_scores_codex":[0.003229805,0.00008965166,0.0005177702,0.0001613706,0.00006830582,0.00002971028,0.0001417187,0.0000301424,0.00003539986],"category_scores_gemma":[0.000146611,0.00005755542,0.00003567009,0.0003081764,0.00009465778,0.0001136927,0.00003420711,0.0001184387,3.05632e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000283254,"about_ca_system_score_gemma":0.0001598522,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01073463,"about_ca_topic_score_gemma":0.09531666,"domain_scores_codex":[0.9988928,0.0001604217,0.0007043935,0.00009398826,0.00005543554,0.00009289882],"domain_scores_gemma":[0.9979892,0.0009199184,0.0009235194,0.00004729948,0.00009222809,0.00002778685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001347042,0.00004528313,0.9741985,0.00006147196,0.0004727796,0.000003206943,0.01906997,0.00001382163,0.000001178526,0.001949273,0.0001512767,0.002686207],"study_design_scores_gemma":[0.001195134,0.00002617999,0.9915653,0.00009964022,0.00007332216,0.000004448696,0.004080098,0.0001311217,0.00004810244,0.0002341734,0.002464613,0.00007790399],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962795,0.0007522242,0.00009431006,0.0002590673,0.00004850287,0.00008362588,0.00001031772,6.176084e-7,0.002471827],"genre_scores_gemma":[0.9992786,0.000285359,0.0003121936,0.00005967727,0.00001987629,0.000001885617,0.000005845798,0.000002127042,0.00003445705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08458203,"threshold_uncertainty_score":0.995853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02358633267413363,"score_gpt":0.1996357561154012,"score_spread":0.1760494234412676,"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."}}