{"id":"W4399855193","doi":"10.18280/isi.290303","title":"Subject Detection of Algerian Posts for Opinion Analysis","year":2024,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subject (documents); Computer science; Political science; Information retrieval; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0004242731,0.0005306931,0.0002519099,0.00304901,0.0003737334,0.0005516317,0.0001921313,0.0002967205,0.002586332],"category_scores_gemma":[0.001052712,0.0000608919,0.0003731362,0.001200106,0.000150841,0.0004883684,0.0003389775,0.0002514794,0.001866915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003951674,"about_ca_system_score_gemma":0.0002749426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003870817,"about_ca_topic_score_gemma":0.01027953,"domain_scores_codex":[0.9996063,0.00007086741,0.00003591427,0.00009034375,0.0001221146,0.00007447502],"domain_scores_gemma":[0.9992284,0.0001346434,0.0001154227,0.00005838911,0.0004201451,0.0000430925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001022717,0.0005212867,0.1548803,0.001472477,0.0001812415,0.001004462,0.002024197,0.001436946,0.1223152,0.00186559,0.0669428,0.6463327],"study_design_scores_gemma":[0.00005348644,0.0005782094,0.6687139,0.0002043064,0.0001944394,0.001006429,0.003869827,0.09497809,0.1001212,0.002244977,0.1279551,0.00007998633],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9106628,0.001645355,0.02430134,0.0008646049,0.0005658257,0.0004778851,0.03556442,0.003053677,0.02286398],"genre_scores_gemma":[0.9060537,0.000758579,0.04504362,0.0001526,0.0004144609,0.0003863408,0.0341157,0.0001378056,0.01293724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003870817,"threshold_uncertainty_score":0.008652151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02495419215151564,"score_gpt":0.2750336375267917,"score_spread":0.250079445375276,"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."}}