{"id":"W7011442100","doi":"","title":"Modeller för val av internationella marknader : Varför valde Target den Kanadensiska marknaden?","year":2012,"lang":"en","type":"article","venue":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","topic":"Engineering and Materials Science Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chose; Internationalization; Generalization; Corporation; Selection (genetic algorithm); Process (computing)","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":[0.002280369,0.001323448,0.0009042861,0.001122508,0.0007758781,0.005261329,0.001319156,0.001521986,0.0350923],"category_scores_gemma":[0.007617701,0.0008660079,0.001769577,0.001075001,0.0006193305,0.004082236,0.001789597,0.002446059,0.01118158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001975958,"about_ca_system_score_gemma":0.002500784,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01739603,"about_ca_topic_score_gemma":0.01747059,"domain_scores_codex":[0.9988586,0.0005091124,0.00008885597,0.0002694702,0.0001903485,0.00008364132],"domain_scores_gemma":[0.997649,0.001695788,0.0001173759,0.0001219622,0.0003530327,0.00006293028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006099697,0.0003696067,0.007122545,0.001102343,0.0003246596,0.0009485843,0.001643231,0.4797661,0.00136274,0.3039838,0.07498968,0.1277767],"study_design_scores_gemma":[0.0001125759,0.00006670307,0.0008243191,0.0004411542,0.00009957466,0.0002135227,0.0007638966,0.7866234,0.001456638,0.1132006,0.0961224,0.00007523483],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04004861,0.002380176,0.8590599,0.00696887,0.0008020573,0.0003927824,0.01086603,0.007483262,0.07199831],"genre_scores_gemma":[0.4847151,0.003423563,0.4269472,0.0008533189,0.0002548381,0.001551478,0.01817219,0.002512976,0.06156937],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.982604,"threshold_uncertainty_score":0.1173954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01501185913456771,"score_gpt":0.2303396168414218,"score_spread":0.2153277577068541,"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."}}