{"id":"W7032074471","doi":"","title":"Éditorial","year":2010,"lang":"fr","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Context (archaeology); Volume (thermodynamics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001822861,0.0003640966,0.000291204,0.00460953,0.0002723409,0.0005231003,0.001562982,0.0003589999,0.00009800555],"category_scores_gemma":[0.00008104768,0.0004190761,0.0002609471,0.009958124,0.0004443672,0.002660542,0.0009434486,0.0007784826,0.0006183237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001215612,"about_ca_system_score_gemma":0.001165112,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04500042,"about_ca_topic_score_gemma":0.0208121,"domain_scores_codex":[0.9977801,0.00009049035,0.0002056558,0.0007350537,0.0004410392,0.0007476542],"domain_scores_gemma":[0.9982932,0.0001102146,0.0001413218,0.00087941,0.0003041466,0.0002717224],"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":[0.00005069447,0.0004338003,0.0001249479,0.0000452293,0.00008221147,0.0008353675,0.003505704,0.000005308,0.00002414957,0.5916343,0.01248489,0.3907733],"study_design_scores_gemma":[0.0008556893,0.0002002649,0.00005279152,0.00004151456,0.0000606491,0.00007257474,0.00008189635,0.001040343,0.0006164364,0.00007545001,0.9963898,0.000512603],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01448433,0.00000350778,0.005542899,0.001685285,0.04354118,0.0003305026,0.00007291804,0.0003279517,0.9340114],"genre_scores_gemma":[0.7574364,0.1177323,0.04952608,0.001697322,0.04231142,0.000007766957,0.0001257215,0.0002849099,0.03087812],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9839049,"threshold_uncertainty_score":0.9998261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01692163444076433,"score_gpt":0.2103527551934841,"score_spread":0.1934311207527198,"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."}}