{"id":"W803188536","doi":"","title":"Swot analysis of Québec's snowmobiling product with relation to its European clientele.","year":2003,"lang":"en","type":"article","venue":"Tourism (Zagreb)","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"SWOT analysis; Relation (database); Product (mathematics); Political science; Business; Computer science; Marketing; Mathematics; Data mining","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":[0.0003823969,0.0002544648,0.0001733315,0.002653834,0.002277094,0.001745671,0.0005085517,0.0004377396,0.01459455],"category_scores_gemma":[0.00100246,0.0001193721,0.0002042217,0.004509279,0.0006676678,0.0004901144,0.0006605221,0.0003188827,0.00173077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009687484,"about_ca_system_score_gemma":0.005083106,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9067335,"about_ca_topic_score_gemma":0.9618286,"domain_scores_codex":[0.9995407,0.00006163231,0.0000134107,0.00004156326,0.0001846074,0.0001580989],"domain_scores_gemma":[0.9989824,0.00010647,0.00008629144,0.00002530664,0.0006725581,0.0001269038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006143043,0.0003182944,0.7106249,0.000528876,0.0000935409,0.003334343,0.05293544,0.006973681,0.009422724,0.0154364,0.03796777,0.1617498],"study_design_scores_gemma":[0.000002860202,0.00005496544,0.8968043,0.00009077926,0.00002226547,0.0001906294,0.06353857,0.00408557,0.0008549563,0.0002402464,0.0340929,0.00002192337],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9241972,0.0003365479,0.001097454,0.0003210772,0.00001173959,0.0001055227,0.004092937,0.00005460823,0.069783],"genre_scores_gemma":[0.9597054,0.0002256014,0.0008934544,0.0000500661,0.000002864301,0.00003741858,0.002230341,0.00003374097,0.03682104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09326649,"threshold_uncertainty_score":0.1876314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01546999801452127,"score_gpt":0.1859325614855269,"score_spread":0.1704625634710056,"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."}}