{"id":"W4401237548","doi":"","title":"Hautes Chaumes & Fourme(s): Révéler un territoire ? tracer une frontière ? éprouver des limites ?","year":2021,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.003923172,0.0005778081,0.0008956093,0.001478998,0.00664211,0.01188103,0.001283141,0.009232498,0.02622433],"category_scores_gemma":[0.009353596,0.0002931447,0.0005343978,0.001819144,0.02053426,0.01261787,0.004553859,0.005366861,0.003643973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005061672,"about_ca_system_score_gemma":0.006506889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05467002,"about_ca_topic_score_gemma":0.07621077,"domain_scores_codex":[0.9985239,0.00070253,0.00004542275,0.0003165609,0.0002385998,0.0001730364],"domain_scores_gemma":[0.9957467,0.002355712,0.0002729211,0.0002266121,0.0008325072,0.000565675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005244051,0.00002230149,0.001295057,0.0004071146,0.00001899907,0.0002939388,0.02495141,0.0003106457,0.0002222606,0.7121682,0.1767333,0.08352433],"study_design_scores_gemma":[0.00001713079,0.00003921453,0.002451387,0.00135315,0.00003029172,0.0006210886,0.05500741,0.0006021037,0.0004912794,0.335097,0.604203,0.00008689799],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01690467,0.0612012,0.01111697,0.7866014,0.006908245,0.00003804313,0.0002195359,0.0001132373,0.1168967],"genre_scores_gemma":[0.6397724,0.08216261,0.01974105,0.05611043,0.005659281,0.0002256728,0.0001445884,0.000454901,0.195729],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05467002,"threshold_uncertainty_score":0.1087036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02070256376568686,"score_gpt":0.2219646540424072,"score_spread":0.2012620902767203,"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."}}