{"id":"W2374517271","doi":"","title":"Summary and Analysis of Patents Related to Smokeless Tobacco Products","year":2011,"lang":"en","type":"article","venue":"Yunnan Chemical Technology","topic":"Tea Polyphenols and Effects","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Smokeless tobacco; China; Patent analysis; Business; International trade; Medicine; Political science; Environmental health; Tobacco use; Law; Data science; Computer science; Population","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":[0.001069565,0.0004588832,0.0006204188,0.01566069,0.0003192395,0.001188481,0.0003799771,0.0002799816,0.01687545],"category_scores_gemma":[0.005910884,0.00008113141,0.0008910622,0.01764607,0.0001162099,0.0008667801,0.0002519284,0.000204093,0.003996473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008651221,"about_ca_system_score_gemma":0.001340029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003773368,"about_ca_topic_score_gemma":0.002920975,"domain_scores_codex":[0.9981623,0.0001510128,0.0004492927,0.0001515752,0.0009454199,0.0001404596],"domain_scores_gemma":[0.9941672,0.002387378,0.001487668,0.0001989325,0.001623823,0.0001349224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001830452,0.0002042801,0.07914256,0.01202423,0.0007866951,0.002424431,0.0003200883,0.003745475,0.009008436,0.004759138,0.09919137,0.7865629],"study_design_scores_gemma":[0.00008520939,0.0006754409,0.3856826,0.00106884,0.001339284,0.002626368,0.0004531148,0.002293656,0.01379428,0.002029454,0.5898913,0.00006037838],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"review","genre_scores_codex":[0.2678256,0.1065751,0.004920469,0.002042087,0.0005777074,0.0009324582,0.5063955,0.0007806718,0.1099503],"genre_scores_gemma":[0.5438649,0.08746661,0.006412022,0.0004282448,0.0007865886,0.0004338291,0.3254232,0.0001068424,0.0350778],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01687545,"threshold_uncertainty_score":0.056454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02212419387492308,"score_gpt":0.256383540723655,"score_spread":0.2342593468487319,"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."}}