{"id":"W4392829782","doi":"10.62212/revuepossibles.v44i2.33","title":"Pour memoire","year":2020,"lang":"fr","type":"article","venue":"Revue Possibles","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Québécois du P.E.N. International; Fédération des Maisons D'Hébergement pour Femmes","funders":"","keywords":"Moiré pattern; Computer science; Computer vision","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001939089,0.0002317566,0.000291684,0.0000328657,0.0003873627,0.0001740313,0.0003615869,0.0002364716,0.002174267],"category_scores_gemma":[0.000537634,0.0002359937,0.0001899565,0.0003340465,0.0006585703,0.0003816679,0.00006820654,0.0002111243,0.002583613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006611191,"about_ca_system_score_gemma":0.0008504248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002483852,"about_ca_topic_score_gemma":0.001591625,"domain_scores_codex":[0.9980297,0.0002913831,0.0003787728,0.0004048345,0.0003038214,0.0005914722],"domain_scores_gemma":[0.9987749,0.0001584478,0.0001604631,0.0001955152,0.0002060332,0.0005045712],"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":[0.00001352676,0.0001465791,0.01404005,0.000724701,0.0001439586,0.00005673574,0.3057949,0.0002742242,0.0009494095,0.2496737,0.4116359,0.01654636],"study_design_scores_gemma":[0.0002797615,0.00003734617,0.004768978,0.0001562817,0.00009623242,0.00001001643,0.02372549,0.001525036,0.0008413259,0.0007974792,0.9673552,0.0004068352],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2364653,0.01700039,0.0001948283,0.6687715,0.002526805,0.0004861348,0.0002243232,0.000231776,0.07409887],"genre_scores_gemma":[0.6459342,0.003621683,0.003171924,0.03228363,0.01044334,0.00001724428,0.00006684436,0.00005641557,0.3044048],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6364879,"threshold_uncertainty_score":0.9987379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2399396960649243,"score_gpt":0.4026161108593698,"score_spread":0.1626764147944455,"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."}}