{"id":"W7120565476","doi":"","title":"Analysis of collaboration between companies in the cosmetics sector: a study based on patents","year":2019,"lang":"pt","type":"dissertation","venue":"Digital Library of Theses and Dissertations  (Universidade de São Paulo)","topic":"Healthcare during COVID-19 Pandemic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Quarter (Canadian coin)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002897734,0.0004004126,0.0009006218,0.002207593,0.0002024623,0.0005011071,0.001138876,0.0002249854,0.00002055322],"category_scores_gemma":[0.0001603117,0.000364398,0.0002647678,0.005041423,0.0000778903,0.001665897,0.00008673183,0.0003270648,0.00000503076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000641136,"about_ca_system_score_gemma":0.0006634294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002174672,"about_ca_topic_score_gemma":0.0004593944,"domain_scores_codex":[0.9970974,0.0004924252,0.0007588511,0.000623294,0.0006885825,0.0003395],"domain_scores_gemma":[0.996056,0.002050768,0.00077924,0.0007894105,0.0001880471,0.0001364849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003064266,0.0009879266,0.8518957,0.0004864003,0.0007139543,0.00002024219,0.1335754,0.008741958,0.00002307285,0.001529685,0.00001085734,0.001708334],"study_design_scores_gemma":[0.0006311749,0.0007770439,0.7115185,0.0002619606,0.0005814229,2.816071e-7,0.2182856,0.06747267,0.0000587295,0.0001373972,0.000009209254,0.0002660255],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955203,0.00008521558,0.0007977993,0.0002987536,0.00009117409,0.001091646,0.001401679,0.00003944789,0.0006740022],"genre_scores_gemma":[0.9967155,0.00001757995,0.0001416919,0.0001010702,0.000009539696,0.00001510058,0.002731596,0.00003006133,0.0002378155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1403773,"threshold_uncertainty_score":0.9998808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02921887806932084,"score_gpt":0.2903019393381482,"score_spread":0.2610830612688274,"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."}}