{"id":"W2892813383","doi":"10.1145/3249816","title":"Session details: OOPSLA onward! track Chair's welcome","year":2006,"lang":"en","type":"article","venue":"","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Session (web analytics); Computer science; Track (disk drive); Multimedia; World Wide Web; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003663961,0.0001452441,0.0001656837,0.0001228751,0.0002230137,0.000402043,0.000647846,0.00006155339,0.0001345446],"category_scores_gemma":[0.0000187007,0.0001151658,0.00006602497,0.0003047641,0.00002620031,0.001335214,0.0001767212,0.0001058721,0.000336926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002796248,"about_ca_system_score_gemma":0.00005368032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001909595,"about_ca_topic_score_gemma":0.000003701615,"domain_scores_codex":[0.998682,0.00002330677,0.0004619393,0.0002189566,0.0003306334,0.0002831474],"domain_scores_gemma":[0.9991851,0.0000472148,0.0001969977,0.0003944864,0.000109561,0.00006666514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002563524,0.0002418947,0.0008788704,0.0003005357,0.00001252081,0.000008803151,0.003866241,0.000991671,0.0003227624,0.8358444,0.03129121,0.1262385],"study_design_scores_gemma":[0.0006243247,0.00005298373,0.002316592,0.0001350545,0.000004517936,0.00006958152,0.0002410856,0.8045433,0.00624295,0.1169909,0.0681973,0.0005813707],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01476677,0.00004382952,0.8245692,0.0005946665,0.0003005504,0.000082404,2.526289e-7,0.000460265,0.1591821],"genre_scores_gemma":[0.7299432,0.000003508413,0.2633913,0.0007383297,0.0002085165,0.00000563179,0.000003719924,0.00001044229,0.005695354],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8035516,"threshold_uncertainty_score":0.4696324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01415387142555382,"score_gpt":0.236418109664241,"score_spread":0.2222642382386872,"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."}}