{"id":"W4405131212","doi":"10.5206/mf.v9i1.22197","title":"Une mémoire grenobloise","year":2024,"lang":"fr","type":"article","venue":"Mouvances Francophones","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Moiré pattern; Computer science; Computer vision","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000428857,0.0003732916,0.0004744,0.0000889717,0.001363791,0.0002952923,0.0003722889,0.0002958848,0.003188422],"category_scores_gemma":[0.0001087617,0.0003648112,0.0003316384,0.002416761,0.002040391,0.0006116244,0.00007902896,0.0004855108,0.005138677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005088156,"about_ca_system_score_gemma":0.0002781848,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05351465,"about_ca_topic_score_gemma":0.03320483,"domain_scores_codex":[0.9974217,0.0001750748,0.0003857145,0.0005872954,0.0006213101,0.0008088514],"domain_scores_gemma":[0.9987183,0.0006824809,0.00007217302,0.000210982,0.00009990735,0.000216195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001074522,0.00009369002,0.0001908517,0.0003986174,0.0002695696,0.0001759586,0.04964512,0.0001393004,0.00003348166,0.1566729,0.3599849,0.4323848],"study_design_scores_gemma":[0.0001623869,0.00006006204,0.0009866332,0.0004628785,0.0000945015,0.00000229895,0.007180083,0.0007949965,0.00003500155,0.02305451,0.9667342,0.0004324162],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.002916367,0.72917,0.0007775974,0.02399803,0.09374293,0.0002326039,0.00006576701,0.0003699753,0.1487267],"genre_scores_gemma":[0.4617453,0.1007237,0.0004615458,0.0003802289,0.009441533,0.00006153847,0.000004437349,0.00005287791,0.4271289],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.6284463,"threshold_uncertainty_score":0.9999363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02217019512181208,"score_gpt":0.2660604420209186,"score_spread":0.2438902468991065,"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."}}