{"id":"W3136784716","doi":"10.5555/1326073.3256467","title":"Session details: Advances in parasitic extraction and variability modeling","year":2007,"lang":"en","type":"article","venue":"International Conference on Computer Aided Design","topic":"Parasitic Diseases Research and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Session (web analytics); Computer science; Extraction (chemistry); World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001621122,0.0009307598,0.001196268,0.0009211813,0.0007965686,0.001826273,0.001159151,0.001482422,0.07262665],"category_scores_gemma":[0.002861466,0.0004286753,0.001063318,0.001429355,0.0002977301,0.002026123,0.001276159,0.00145256,0.02164508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003844112,"about_ca_system_score_gemma":0.0005771511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001033476,"about_ca_topic_score_gemma":0.001807756,"domain_scores_codex":[0.9993833,0.000155538,0.00003675943,0.0001437859,0.0002346781,0.00004575924],"domain_scores_gemma":[0.9980326,0.0008469549,0.00006605418,0.000362968,0.0005902484,0.0001011266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003732044,0.0001805473,0.002188846,0.0004129661,0.00009689288,0.0002132082,0.0001877791,0.0235266,0.0347275,0.007886687,0.1163196,0.8138862],"study_design_scores_gemma":[0.00006459122,0.0003705829,0.007243176,0.0001388561,0.0002270114,0.001580437,0.0002060823,0.3238869,0.07327847,0.02152082,0.5713109,0.0001721631],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.008303165,0.00573058,0.944006,0.002098046,0.003040862,0.0001804605,0.001043817,0.003970797,0.03162631],"genre_scores_gemma":[0.1727444,0.01309589,0.4723003,0.001060663,0.004839415,0.0004065094,0.005823378,0.003259989,0.3264695],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07262665,"threshold_uncertainty_score":0.2429603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08746311187045941,"score_gpt":0.4126732607518623,"score_spread":0.3252101488814029,"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."}}