{"id":"W3121557558","doi":"10.29173/cf589","title":"Les mondes inversés","year":2021,"lang":"fr","type":"article","venue":"Convergences francophones","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003385291,0.003221366,0.002055706,0.003315358,0.008135876,0.01174469,0.001373888,0.004303799,0.03997681],"category_scores_gemma":[0.00756221,0.001055279,0.004178357,0.002417621,0.007482685,0.007644937,0.003888473,0.01119284,0.006941517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01127335,"about_ca_system_score_gemma":0.002979205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1490815,"about_ca_topic_score_gemma":0.1004833,"domain_scores_codex":[0.9955919,0.001855726,0.0001369326,0.0009383233,0.0009373323,0.0005396839],"domain_scores_gemma":[0.9979353,0.0009616141,0.0001486624,0.0002669378,0.0005096927,0.0001778191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009180998,0.00002311128,0.0004788478,0.00009623098,0.0000589033,0.0002883555,0.0007326127,0.000526982,0.0004432848,0.9780498,0.005727241,0.0134828],"study_design_scores_gemma":[0.0001982753,0.00007872561,0.008831779,0.0003897091,0.0001123016,0.001921194,0.004287743,0.004743214,0.001626133,0.538155,0.4394528,0.000203187],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0908712,0.02743065,0.08196592,0.03054466,0.007945237,0.0001311763,0.002214263,0.0007749791,0.7581218],"genre_scores_gemma":[0.5619175,0.01278958,0.04277167,0.003724738,0.00495627,0.0004405615,0.001258474,0.000470312,0.3716709],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1490815,"threshold_uncertainty_score":0.2964275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05671139533337612,"score_gpt":0.2801178859132203,"score_spread":0.2234064905798442,"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."}}