{"id":"W7011248317","doi":"","title":"L’exil, une “deuxième chance” pour Felicia Mihali?","year":2025,"lang":"en","type":"article","venue":"Dialnet (Universidad de la Rioja)","topic":"Probability and Statistical Research","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Limiting; Circumstantial evidence; Subject (documents); Pretext; Frame (networking); Context (archaeology)","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":[0.0006885752,0.0004210325,0.0002867868,0.0003878546,0.01216101,0.004715953,0.0005369561,0.001701085,0.006560351],"category_scores_gemma":[0.001097648,0.0001555211,0.0002054335,0.0002583417,0.008474346,0.004041844,0.002673661,0.003867684,0.0006938223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006702736,"about_ca_system_score_gemma":0.002367134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05684834,"about_ca_topic_score_gemma":0.1242331,"domain_scores_codex":[0.9994325,0.0001764193,0.000006859482,0.00005457823,0.00005131113,0.0002782151],"domain_scores_gemma":[0.9997783,0.00004244881,0.00004266257,0.00001246134,0.00002650794,0.0000976486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002841752,0.00008704738,0.01052507,0.0001489268,0.00002399691,0.004143804,0.5077861,0.00008981973,0.001362283,0.3381064,0.09546549,0.04197695],"study_design_scores_gemma":[0.00001731395,0.00006906506,0.008308479,0.0003092748,0.00001062729,0.001678941,0.3405435,0.00008423437,0.0006845963,0.006557403,0.641691,0.00004549029],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4542467,0.02199187,0.001915166,0.2180758,0.002129517,0.00005695404,0.000251487,0.0001052526,0.3012272],"genre_scores_gemma":[0.9239754,0.002573018,0.0003144682,0.01134718,0.0002208972,0.00003338492,0.0000562441,0.0000470845,0.0614323],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05684834,"threshold_uncertainty_score":0.1130349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03542904464736754,"score_gpt":0.3562199080394663,"score_spread":0.3207908633920988,"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."}}