{"id":"W2188283337","doi":"","title":"While Canada remains the dominant source of papers, this year's CRV features 21 papers from international participants (30 percent).","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Work (physics); Library science; Research council; Political science; History; Computer science; Engineering; World Wide Web; Government (linguistics); Linguistics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001381613,0.0001368296,0.0001501979,0.00004068829,0.0001269074,0.00006041271,0.000875795,0.00005414822,0.0006816717],"category_scores_gemma":[0.00006438215,0.00009735749,0.00006306845,0.0001469708,0.00007267966,0.0001537509,0.0002358012,0.0001513931,0.000008702565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001622882,"about_ca_system_score_gemma":0.0001555148,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2633373,"about_ca_topic_score_gemma":0.3611326,"domain_scores_codex":[0.9986219,0.00005660797,0.0002569807,0.0003254737,0.0004648858,0.0002741049],"domain_scores_gemma":[0.9990259,0.0001642681,0.000132235,0.0005291661,0.000090462,0.00005799115],"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":[0.0001508498,0.0004465127,0.01148732,0.00003291072,0.0003245108,0.0001207797,0.003599415,0.00412582,0.1992564,0.05148439,0.6088591,0.120112],"study_design_scores_gemma":[0.0006422544,0.000085503,0.06968543,0.00006325245,0.00002607661,0.00001942817,0.0008433781,0.002998393,0.2402078,0.001614813,0.6832711,0.0005426117],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2704363,0.0006891892,0.4091116,0.02321592,0.005230872,0.001656619,0.0002011921,0.001980569,0.2874778],"genre_scores_gemma":[0.9808471,0.00002314432,0.01229994,0.0006885575,0.000133082,0.00002073411,0.000006365249,0.00001181893,0.005969215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7104108,"threshold_uncertainty_score":0.7463827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007805736247873997,"score_gpt":0.2210952587333928,"score_spread":0.2132895224855188,"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."}}