{"id":"W6884606109","doi":"10.11575/prism/10582","title":"Health Telematics Unit Global e-Health Research and Training Program: Academic Annual Report 2004","year":2005,"lang":"en","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telematics; Annual report; Unit (ring theory); Training (meteorology); Duration (music)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001649335,0.0008722986,0.0004292213,0.003718607,0.001732822,0.003642658,0.001791845,0.001289021,0.2148953],"category_scores_gemma":[0.004670238,0.0003915519,0.0002151606,0.005128756,0.0004967867,0.001705606,0.001658774,0.00141439,0.11451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005722694,"about_ca_system_score_gemma":0.01633893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1295336,"about_ca_topic_score_gemma":0.1293238,"domain_scores_codex":[0.9986216,0.0001617567,0.00006322237,0.00008174167,0.0006855136,0.0003862473],"domain_scores_gemma":[0.9917411,0.0006462132,0.0003489069,0.0002632523,0.004593655,0.002406968],"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":[0.00003301705,0.00005497027,0.0005479266,0.00005486244,0.000001380145,0.00001173646,0.00004940811,0.0000454944,0.00004493523,0.0005997543,0.9714966,0.0270599],"study_design_scores_gemma":[0.00004434845,0.00004431336,0.01391095,0.00009309875,0.000006164878,0.0000386605,0.0003584464,0.0001579619,0.0004889866,0.0003829204,0.9844637,0.0000105281],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004395936,0.002074406,0.001033888,0.01245367,0.001159076,0.0005443434,0.08963455,0.003492032,0.885212],"genre_scores_gemma":[0.01014832,0.002066102,0.001250425,0.001093228,0.0002509326,0.0002249002,0.03342747,0.0006359493,0.9509026],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2148953,"threshold_uncertainty_score":0.7188964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3107217939344136,"score_gpt":0.5532906278587532,"score_spread":0.2425688339243396,"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."}}