{"id":"W4307633655","doi":"10.3917/books.122.0017","title":"À 2 milliards près…","year":2022,"lang":"fr","type":"article","venue":"Books","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"College of the North Atlantic","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001004668,0.001440087,0.001381921,0.004683074,0.003537286,0.007203255,0.001627655,0.002992904,0.3795214],"category_scores_gemma":[0.003061757,0.001046035,0.001269137,0.003274097,0.001638343,0.004429663,0.002685712,0.005663275,0.1957266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001819187,"about_ca_system_score_gemma":0.001913973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009255455,"about_ca_topic_score_gemma":0.03460542,"domain_scores_codex":[0.9989104,0.0001728469,0.00006432496,0.0001429914,0.0005946355,0.0001147918],"domain_scores_gemma":[0.998187,0.0003494641,0.00006836461,0.0001996135,0.00090425,0.0002912777],"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":[0.00002866762,0.00002350693,0.00007525144,0.0001149124,0.000003541739,0.00005174437,0.00007808095,0.00002517622,0.0001716734,0.005101908,0.9484558,0.04586963],"study_design_scores_gemma":[0.000003915543,0.00001111686,0.0001806697,0.00005820247,0.000002554888,0.00003674153,0.00007265609,0.00004125513,0.00003827159,0.0005863801,0.9989653,0.000002924605],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001716595,0.03705901,0.002361862,0.04686934,0.08774015,0.0002131046,0.001578445,0.001484179,0.8209774],"genre_scores_gemma":[0.0009411502,0.002444101,0.0002883536,0.002002883,0.003962222,0.00002921392,0.0001744582,0.0001170875,0.9900406],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3795214,"threshold_uncertainty_score":0.8850375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1836463554552945,"score_gpt":0.4001506481841363,"score_spread":0.2165042927288418,"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."}}