{"id":"W4399823163","doi":"10.1515/9782760519992-013","title":"Les Gais D’Origine Latino-Américaine À Montréal Et Leurs Usages Sociosexuels D’Internet","year":2008,"lang":"fr","type":"book-chapter","venue":"Presses de l'Université du Québec eBooks","topic":"Digital Communication and Language","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"The Internet; Sociology; Psychology; Computer science; World Wide Web","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":[0.0003486895,0.0005981717,0.0002986151,0.002143918,0.007577435,0.003930731,0.0006790112,0.0005358689,0.01512239],"category_scores_gemma":[0.001092181,0.0003772324,0.0003120554,0.005218232,0.003186574,0.001247425,0.001388544,0.001443499,0.000657534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02564601,"about_ca_system_score_gemma":0.0203551,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9789274,"about_ca_topic_score_gemma":0.9920739,"domain_scores_codex":[0.9996067,0.0000691457,0.00001031174,0.00005414037,0.00009479196,0.0001649346],"domain_scores_gemma":[0.9995536,0.0001156003,0.00006443393,0.00001939007,0.0001170345,0.0001298871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002350595,0.0001262052,0.08266714,0.0005359346,0.0001256517,0.003208868,0.3283906,0.0004603839,0.004165427,0.2750757,0.05092622,0.2540828],"study_design_scores_gemma":[0.00002175881,0.00003821154,0.1886281,0.0004989809,0.00005483576,0.0006169807,0.06267633,0.0001321414,0.0004903048,0.001875922,0.7449043,0.00006219789],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4994681,0.05856051,0.001070907,0.01131844,0.0004280375,0.00008909406,0.001911747,0.000143309,0.4270099],"genre_scores_gemma":[0.6563582,0.02641278,0.001271149,0.00124863,0.00009051619,0.00007814742,0.0004331121,0.0001399113,0.3139676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02564601,"threshold_uncertainty_score":0.1860757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06164726146400236,"score_gpt":0.2332491088908856,"score_spread":0.1716018474268833,"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."}}