{"id":"W7100048625","doi":"","title":"Using Analytical Approximations","year":2006,"lang":"en","type":"article","venue":"","topic":"Morinda citrifolia extract uses","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subject (documents); Term (time); Work (physics); Filter (signal processing)","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":[0.002166098,0.00143992,0.001015216,0.00193161,0.001109246,0.003077284,0.00172649,0.001616857,0.05085921],"category_scores_gemma":[0.01631264,0.0006467896,0.001594963,0.00201649,0.001407202,0.003515063,0.002218715,0.002602366,0.02136782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001911787,"about_ca_system_score_gemma":0.002359845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01310701,"about_ca_topic_score_gemma":0.01024782,"domain_scores_codex":[0.9988939,0.0004615663,0.00005369329,0.0001395292,0.0003364359,0.000114871],"domain_scores_gemma":[0.9960178,0.002034347,0.0002748006,0.0006405161,0.0009115645,0.0001211415],"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":[0.00007481458,0.0001080838,0.001722485,0.0004682649,0.0001076455,0.0004231051,0.0003998584,0.1289538,0.001117865,0.7417887,0.0525777,0.0722576],"study_design_scores_gemma":[0.00001878215,0.00002480842,0.0006165008,0.0003548576,0.00004732353,0.0002336742,0.0002114763,0.599282,0.0007351906,0.3022746,0.09616391,0.00003687297],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005398103,0.005978764,0.8092301,0.003774355,0.001822081,0.0001634739,0.0009309113,0.0009261746,0.171776],"genre_scores_gemma":[0.3208581,0.01540515,0.3274792,0.00194929,0.002034542,0.0008570763,0.00256297,0.002765007,0.3260887],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05085921,"threshold_uncertainty_score":0.170141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07985660519602344,"score_gpt":0.3557083592187896,"score_spread":0.2758517540227662,"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."}}