{"id":"W2568665805","doi":"10.7202/1037509ar","title":"Présentation","year":2016,"lang":"fr","type":"article","venue":"Anthropologie et Sociétés","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006194946,0.0002663684,0.0002741346,0.00004669821,0.0006436094,0.00008708596,0.00031771,0.0004385224,0.04163106],"category_scores_gemma":[0.000860877,0.0001909857,0.0001987502,0.000175489,0.00683474,0.0008904311,0.00008960658,0.0001698991,0.001608898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001673848,"about_ca_system_score_gemma":0.0008116493,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008724653,"about_ca_topic_score_gemma":0.002116617,"domain_scores_codex":[0.996946,0.0009107686,0.0004166194,0.0004553646,0.0004638226,0.0008074046],"domain_scores_gemma":[0.9983565,0.0007028126,0.0001601735,0.0002965056,0.0002887488,0.000195307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008590898,0.000196778,0.006730478,0.00002670095,0.00009131169,0.00001255648,0.02782048,0.000002349673,0.001015873,0.169624,0.74463,0.04984085],"study_design_scores_gemma":[0.0006862414,0.00009301167,0.0104534,0.00007094292,0.00007614824,0.000004605595,0.1126138,0.00001493516,0.003009467,0.0055663,0.8669778,0.000433409],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07186992,0.001504788,0.001453298,0.8188587,0.06723866,0.0004543084,0.0001042297,0.0002553359,0.03826074],"genre_scores_gemma":[0.5860872,0.02243181,0.0009028589,0.01315999,0.003085279,0.00002904918,0.00003018825,0.00004358326,0.37423],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.8056988,"threshold_uncertainty_score":0.9991685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4494329032817325,"score_gpt":0.6358714254794194,"score_spread":0.186438522197687,"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."}}