{"id":"W4245718561","doi":"10.1007/bf02916053","title":"Session - 1 December 20, 2007 Cutting edge technologies in clinical biochemistry - II","year":2007,"lang":"en","type":"article","venue":"Indian Journal of Clinical Biochemistry","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; IONICS Mass Spectrometry (Canada)","funders":"","keywords":"Session (web analytics); Enhanced Data Rates for GSM Evolution; Computer science; Physiology; Medicine; World Wide Web; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003853472,0.00179329,0.001269561,0.001180692,0.003231976,0.00510287,0.001730229,0.009741093,0.3313454],"category_scores_gemma":[0.002753134,0.0004259772,0.001356134,0.0006098438,0.0005105184,0.001630143,0.003976644,0.005508114,0.2019865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001878464,"about_ca_system_score_gemma":0.00361268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001125652,"about_ca_topic_score_gemma":0.004363704,"domain_scores_codex":[0.9985185,0.000278994,0.00007125657,0.0002653999,0.0003716724,0.000494198],"domain_scores_gemma":[0.9960275,0.0004761039,0.0001188514,0.0001796885,0.001103855,0.002093978],"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":[0.0007417945,0.0003538778,0.000759917,0.0004063293,0.00002394793,0.0001857431,0.00009421177,0.000104159,0.001710775,0.002017993,0.9620711,0.03153009],"study_design_scores_gemma":[0.0001100928,0.0003947553,0.003948454,0.0003276515,0.00002131757,0.0002417995,0.000144867,0.0002841697,0.001528003,0.001634009,0.9913388,0.0000260239],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01310729,0.01965413,0.004858182,0.101518,0.2947783,0.003919849,0.007421154,0.001623526,0.5531197],"genre_scores_gemma":[0.01283028,0.002679096,0.000792886,0.00945163,0.02437752,0.0005870114,0.00210764,0.000265573,0.9469084],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3313454,"threshold_uncertainty_score":0.9537546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04622885147861942,"score_gpt":0.4271882044075994,"score_spread":0.3809593529289799,"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."}}