{"id":"W2078712083","doi":"10.1080/07373930008917761","title":"ANALYSIS OF RECENT PATENT LITERATURE ON DRYING AND DRYERS","year":2000,"lang":"en","type":"article","venue":"Drying Technology","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Patent analysis; Subject (documents); Environmental science; Computer science; Library science; Data science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001923731,0.0001310945,0.0004083084,0.0026703,0.0002041938,0.0001358767,0.001021263,0.0002521985,0.0008005312],"category_scores_gemma":[0.001454926,0.00009004393,0.0001061301,0.009561135,0.0004923742,0.0001692156,0.0001514529,0.0004850231,0.00006526359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000344578,"about_ca_system_score_gemma":0.00003400933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001330258,"about_ca_topic_score_gemma":0.00001054807,"domain_scores_codex":[0.9973611,0.0001027403,0.0004909019,0.0006472199,0.001002262,0.0003957516],"domain_scores_gemma":[0.9984666,0.0004044313,0.0001443502,0.0006917887,0.0001948705,0.00009796733],"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":[0.00003690509,0.00003858234,0.06348616,0.000003136802,0.00008130378,0.00002024533,0.0006278698,0.0003224181,0.004757061,0.003686575,0.0006025056,0.9263372],"study_design_scores_gemma":[0.002445108,0.001317887,0.1769295,0.0004000184,0.0005015866,0.00006007598,0.007082551,0.04951914,0.06230434,0.2437927,0.4540004,0.001646678],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882076,0.0005913232,0.0000719797,0.004951171,0.00006586849,0.0001046152,0.00001161113,0.00007766834,0.00591815],"genre_scores_gemma":[0.9969313,0.001396261,0.0004392291,0.0002079743,0.00001525468,0.000007595795,0.000003011483,0.000005506177,0.0009939083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9246905,"threshold_uncertainty_score":0.8765256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1366806827486899,"score_gpt":0.4031952796658346,"score_spread":0.2665145969171447,"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."}}