{"id":"W3026017787","doi":"10.1522/revueot.v29n1.1120","title":"Les néoruraux en cavale vers la campagne : quelles conséquences pour le Québec?","year":2020,"lang":"fr","type":"article","venue":"Revue Organisations & territoires","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; cons; Political science; Art; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009071252,0.0001722595,0.0002058221,0.0004059279,0.009129782,0.003163709,0.0006989763,0.0009212801,0.004760908],"category_scores_gemma":[0.001458446,0.0001034314,0.000121465,0.0008435554,0.009843729,0.00124579,0.001812812,0.001740823,0.0002009482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02487673,"about_ca_system_score_gemma":0.02075939,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9183567,"about_ca_topic_score_gemma":0.9721195,"domain_scores_codex":[0.9991399,0.0002964379,0.00001006058,0.00007804361,0.0001201757,0.0003554596],"domain_scores_gemma":[0.9991912,0.000145886,0.0001054794,0.00005064378,0.0002264864,0.000280256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001182021,0.0001101476,0.07566763,0.0001612968,0.00003541153,0.002634987,0.5338357,0.0007211917,0.003337096,0.3040738,0.01541429,0.06389024],"study_design_scores_gemma":[0.00002312474,0.00008230977,0.1494836,0.0005158209,0.0000242171,0.0004555921,0.5469612,0.0008157267,0.0005943672,0.01355581,0.2874172,0.00007083808],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.857704,0.001869017,0.0009626466,0.03455759,0.00008740019,0.00003141517,0.00007812373,0.00001881726,0.1046909],"genre_scores_gemma":[0.9845617,0.0005856808,0.0002019399,0.0009394084,0.000008096044,0.000009610311,0.00001520973,0.000006076242,0.01367215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08164328,"threshold_uncertainty_score":0.1804941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02830584483970081,"score_gpt":0.275188638632161,"score_spread":0.2468827937924602,"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."}}