{"id":"W4409219514","doi":"10.4000/13lo2","title":"Kamel Daoud, Houris","year":2025,"lang":"en","type":"article","venue":"Mondes & Migrations","topic":"Language, Linguistics, Cultural Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Mathematics","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":[],"category_scores_codex":[0.00004827701,0.0001043078,0.0001292219,0.0001062437,0.0004844895,0.0002500484,0.0001373695,0.00002835817,0.002208422],"category_scores_gemma":[0.0001363137,0.00007822748,0.0001143979,0.00008762025,0.0001099804,0.0000876061,0.00003532244,0.00008537628,0.0002240091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003094148,"about_ca_system_score_gemma":0.00002511093,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001992709,"about_ca_topic_score_gemma":0.02151333,"domain_scores_codex":[0.9993934,0.00002202256,0.0001878819,0.0001564594,0.00009980729,0.0001404106],"domain_scores_gemma":[0.9994915,0.00004675754,0.00004316909,0.0002110077,0.0001751707,0.00003237162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000260541,0.0000744971,0.0005407637,0.00001448946,0.0001519774,0.000005363507,0.02586505,0.00004523084,0.0001752465,0.7087362,0.2628286,0.001559904],"study_design_scores_gemma":[0.000147794,0.00001695688,0.0006023744,0.000028001,0.0002507896,4.218901e-7,0.01093653,0.0005716293,0.0004209035,0.03368423,0.95314,0.0002003959],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.192052,0.006225549,0.003890529,0.01348374,0.002245765,0.0005062491,0.0004238211,0.000808256,0.7803641],"genre_scores_gemma":[0.8021151,0.00001340368,0.0002938996,0.0006321068,0.0004647525,0.00002007126,0.00008338521,0.000006011642,0.1963713],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6903114,"threshold_uncertainty_score":0.9987037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01796920979480521,"score_gpt":0.247178254884246,"score_spread":0.2292090450894408,"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."}}