{"id":"W7055864358","doi":"","title":"Développement touristique : le cas méconnu des Bois-Francs","year":2023,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Order (exchange); Field (mathematics); Noise (video)","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":[0.0006895101,0.0004335784,0.0002570062,0.001358569,0.01040301,0.00375016,0.0006944849,0.001023498,0.01421274],"category_scores_gemma":[0.001096265,0.0002567887,0.0002765732,0.002535783,0.00332462,0.001213629,0.002246983,0.001547839,0.0009835276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02059359,"about_ca_system_score_gemma":0.02523417,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8904189,"about_ca_topic_score_gemma":0.9603419,"domain_scores_codex":[0.9987471,0.0001161102,0.00001999592,0.0001135225,0.000285464,0.0007177275],"domain_scores_gemma":[0.9987908,0.0001208219,0.000139942,0.00003354471,0.0003756545,0.000539268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005058121,0.0001621259,0.207857,0.001107172,0.0001274606,0.02464245,0.1580225,0.001662459,0.008168379,0.1599513,0.1725031,0.2652903],"study_design_scores_gemma":[0.000009113261,0.00005332913,0.1108379,0.000443203,0.00002203926,0.003273929,0.05594261,0.0002485774,0.0005854415,0.001126405,0.8274002,0.00005719188],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6379196,0.02355002,0.002362715,0.02414213,0.000774113,0.000160217,0.001995414,0.0002053487,0.3088904],"genre_scores_gemma":[0.8717031,0.006244479,0.001401894,0.000858984,0.00006235855,0.00005186396,0.0004631123,0.00009578496,0.1191185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1095811,"threshold_uncertainty_score":0.2204528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063245077863775,"score_gpt":0.1830540964203203,"score_spread":0.1724216456416825,"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."}}