{"id":"W6892793348","doi":"10.5281/zenodo.11775378","title":"inférence statistique et probabilités pdf","year":2024,"lang":"fr","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Topic Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Context (archaeology); Filter (signal processing); Nucleofection","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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001388867,0.000390405,0.0003243022,0.0003956066,0.00083691,0.003532547,0.002977564,0.0002481256,0.1781348],"category_scores_gemma":[0.001072907,0.0004261865,0.0001007949,0.0008539942,0.0003092614,0.0004690168,0.00425442,0.001006284,0.2964146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003333799,"about_ca_system_score_gemma":0.00003540205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001004007,"about_ca_topic_score_gemma":0.000004835083,"domain_scores_codex":[0.9958788,0.0009298451,0.0005187642,0.00134238,0.0006665224,0.0006636821],"domain_scores_gemma":[0.9974598,0.00005636226,0.0002001914,0.001317955,0.000650658,0.0003150929],"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":[0.00000804239,0.0001054678,8.618264e-7,0.0006299131,0.00006629602,0.00008772955,0.003511381,0.0004319394,0.0001828094,0.3866066,0.3896837,0.2186852],"study_design_scores_gemma":[0.000194162,0.0001925236,0.00004870321,0.0004855203,0.00002190596,0.0001606212,0.00006439818,0.02580981,0.00003449366,0.007919997,0.9646596,0.0004082565],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00005212837,0.0004846319,0.4008075,0.002972286,0.0005254045,0.0005938188,0.0001644365,0.0008843693,0.5935154],"genre_scores_gemma":[0.006606584,0.0003351625,0.04623112,0.0007109953,0.0006122721,2.247018e-7,0.0007263651,0.007166164,0.9376111],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5749759,"threshold_uncertainty_score":0.999819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05388703854162733,"score_gpt":0.2764000184689893,"score_spread":0.2225129799273619,"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."}}