{"id":"W7001284250","doi":"","title":"Internationalization of PY: in-depth analysis of Canada and LR on international market selection (for our industry)","year":2021,"lang":"en","type":"dissertation","venue":"Universidade Nova de Lisboa's Repository (Universidade Nova de Lisboa)","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Internationalization; Selection (genetic algorithm); Market analysis; Macro; Market research; International market","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":[0.0009342676,0.0002837321,0.0002712865,0.00595075,0.002545863,0.004405518,0.0005624589,0.0002538803,0.006696453],"category_scores_gemma":[0.003316187,0.0001242781,0.0003633879,0.01348779,0.00111612,0.001165565,0.00173469,0.0007315703,0.0002924939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0318167,"about_ca_system_score_gemma":0.04873543,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9757258,"about_ca_topic_score_gemma":0.9811817,"domain_scores_codex":[0.9985924,0.0000680412,0.00003302191,0.00008030704,0.0005476708,0.000678497],"domain_scores_gemma":[0.9967356,0.000292533,0.000345712,0.00005626869,0.001980177,0.0005896359],"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":[0.0003001833,0.0001833653,0.6735477,0.0005402713,0.0001090797,0.001479648,0.02934267,0.00233315,0.001181046,0.0899905,0.03104065,0.1699518],"study_design_scores_gemma":[0.000004226264,0.00002969721,0.8940389,0.0002583306,0.00003237074,0.0001150241,0.03968471,0.001092351,0.000412006,0.0008460574,0.06345347,0.00003273888],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8126289,0.004705427,0.0004940881,0.002602779,0.00002977754,0.0001287928,0.004942719,0.00002426685,0.1744434],"genre_scores_gemma":[0.980703,0.003033639,0.0003515359,0.0001576158,0.000007749977,0.00001954016,0.001659693,0.00001835575,0.01404899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0318167,"threshold_uncertainty_score":0.2308474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01215137151004407,"score_gpt":0.2357161564389789,"score_spread":0.2235647849289348,"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."}}