{"id":"W6962402645","doi":"10.17605/osf.io/vnd5s","title":"TP3: Opération Jarnigoine: La revanche","year":2022,"lang":"fr","type":"other","venue":"Open Science Framework","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Gens; Session (web analytics); Identity (music)","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":[0.01024974,0.002040116,0.00145529,0.001659792,0.002323762,0.01005253,0.004046939,0.003189075,0.1900186],"category_scores_gemma":[0.02672278,0.001361965,0.001540965,0.002463295,0.003000629,0.009804779,0.005982969,0.005990912,0.1967329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002072899,"about_ca_system_score_gemma":0.004164743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007784462,"about_ca_topic_score_gemma":0.003630042,"domain_scores_codex":[0.9911962,0.002704774,0.000585484,0.001631914,0.003060537,0.0008210829],"domain_scores_gemma":[0.9890574,0.003302199,0.0003705579,0.00363612,0.002784544,0.0008492289],"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":[0.0009378081,0.00007409492,0.000744132,0.0005007399,0.00004376806,0.000309579,0.0009103229,0.0007847354,0.004671357,0.1071461,0.634564,0.2493133],"study_design_scores_gemma":[0.00006240843,0.00003356443,0.000336635,0.0001292139,0.00001170365,0.000296221,0.0000931605,0.003196854,0.006040607,0.01353241,0.9762039,0.00006322157],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.003287065,0.001746079,0.6373719,0.01080206,0.007958964,0.0004052234,0.006962695,0.2220201,0.109446],"genre_scores_gemma":[0.06472997,0.003135093,0.298921,0.005744102,0.005197486,0.001067767,0.01440515,0.3546491,0.2521504],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1900186,"threshold_uncertainty_score":0.6356757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01612579277703235,"score_gpt":0.3153686958940441,"score_spread":0.2992429031170118,"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."}}