{"id":"W6981030944","doi":"","title":"Determinants of Canadian outward FDI: variable selection using bayesian statistical techniques","year":2018,"lang":"ca","type":"dissertation","venue":"Repositori UJI (Universitat Jaume I)","topic":"Endometriosis Research and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variable (mathematics); Bayesian probability; Selection (genetic algorithm); Feature selection; Statistical analysis; Statistical model; Model selection; Bayes' theorem","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":[0.00807578,0.0008053788,0.001052383,0.002673639,0.001878548,0.002489176,0.001319284,0.0008771844,0.008806854],"category_scores_gemma":[0.02602367,0.0005554617,0.002417261,0.003715813,0.001152735,0.0008309183,0.0008971919,0.002136137,0.0007496811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01071499,"about_ca_system_score_gemma":0.03369704,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9638738,"about_ca_topic_score_gemma":0.941335,"domain_scores_codex":[0.9983291,0.0006187387,0.00007331873,0.0002557021,0.0003066589,0.0004164237],"domain_scores_gemma":[0.9906682,0.005615673,0.0006798935,0.0004701322,0.002103584,0.0004626034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006633768,0.0002079186,0.610654,0.0002266184,0.001243262,0.0003535227,0.001190979,0.1301976,0.0005586587,0.0544889,0.0384622,0.1617529],"study_design_scores_gemma":[0.0002041485,0.0001292742,0.3539131,0.0005135224,0.001089531,0.0001294119,0.002062243,0.5870049,0.0009633067,0.03291439,0.02084445,0.0002317351],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.875908,0.003619999,0.07829104,0.008120695,0.000297431,0.0003873616,0.01559812,0.0004223169,0.01735501],"genre_scores_gemma":[0.9561347,0.002442599,0.01831808,0.0002679907,0.0001070589,0.0001150731,0.007804986,0.00009535075,0.0147141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0361262,"threshold_uncertainty_score":0.07774305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01857077768266897,"score_gpt":0.3103702301706315,"score_spread":0.2917994524879626,"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."}}