{"id":"W2145510128","doi":"10.1586/erm.11.80","title":"TB diagnostics in India: creating an ecosystem for innovation","year":2011,"lang":"en","type":"article","venue":"Expert Review of Molecular Diagnostics","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Division of Chemistry","keywords":"Molecular diagnostics; Medicine; Environmental resource management; Business; Computational biology; Biology; Environmental science; Bioinformatics","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":[0.006594265,0.0004615001,0.000516529,0.00245256,0.004994345,0.01624955,0.001333794,0.003725284,0.005574604],"category_scores_gemma":[0.004421952,0.0004315484,0.0009947811,0.002086785,0.008314288,0.00771427,0.01607384,0.003038947,0.001225639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004325727,"about_ca_system_score_gemma":0.01282498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002254656,"about_ca_topic_score_gemma":0.003982766,"domain_scores_codex":[0.9944559,0.002602812,0.0002329853,0.000288018,0.001052464,0.001367849],"domain_scores_gemma":[0.9931076,0.003531099,0.0005890356,0.0005856393,0.0006210631,0.001565606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001825845,0.0003107424,0.01125724,0.002444265,0.0001416916,0.005682961,0.03399372,0.001628199,0.006985677,0.5554038,0.04967219,0.3322969],"study_design_scores_gemma":[0.00007958723,0.0004098415,0.00923897,0.001339282,0.0000930587,0.002989824,0.02652201,0.0009572384,0.002056016,0.1342971,0.8218985,0.0001185002],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1430338,0.05781569,0.0238032,0.3677325,0.003571095,0.0005441607,0.0002384002,0.000896603,0.4023646],"genre_scores_gemma":[0.9002817,0.03576754,0.02027153,0.02094368,0.0008625843,0.0002913984,0.0001641187,0.00006642877,0.02135106],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01624955,"threshold_uncertainty_score":0.03487426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05088060495477043,"score_gpt":0.3843377838934796,"score_spread":0.3334571789387091,"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."}}