{"id":"W4212912137","doi":"10.3233/hab-2011-0256","title":"Poster Session","year":2011,"lang":"en","type":"article","venue":"Human Antibodies","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Session (web analytics); Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000108379,0.00012807,0.0001318058,0.0001139894,0.0001979583,0.00002630364,0.0001513038,0.00004153121,0.002844871],"category_scores_gemma":[0.00001154383,0.0001041427,0.00005681174,0.00006315186,0.0001491524,0.0002071598,0.0001014129,0.0000809521,0.0153122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001556278,"about_ca_system_score_gemma":0.000006437187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006195556,"about_ca_topic_score_gemma":0.00005523033,"domain_scores_codex":[0.999247,0.00003931865,0.0001417531,0.0001899089,0.0001438818,0.0002381895],"domain_scores_gemma":[0.9995482,0.00000706659,0.00006042445,0.0002811144,0.00005293549,0.00005027226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008466406,0.0003608503,0.4960779,0.00006592149,0.00007840793,0.000106698,0.01651821,8.517262e-8,0.3764398,0.02575417,0.0838454,0.0006678714],"study_design_scores_gemma":[0.0003687357,0.00008913569,0.9229336,0.00007891328,0.00002513253,0.00001463438,0.0003348686,0.000002027567,0.0650247,0.003541652,0.007296003,0.0002905403],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7077951,0.00008775734,0.000002378224,0.000007146401,0.00008075325,0.0000594702,0.000007232816,0.0002325854,0.2917275],"genre_scores_gemma":[0.9940949,0.000004558692,0.000237202,0.00008679903,0.00006920595,0.000002523442,0.00001450385,0.00005052687,0.00543979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4268557,"threshold_uncertainty_score":0.9980667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.101750084169722,"score_gpt":0.3143133227792194,"score_spread":0.2125632386094974,"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."}}