{"id":"W4243860731","doi":"10.1021/cen-09801-meetings1","title":"Pacifichem 2020 call for papers","year":2020,"lang":"en","type":"paratext","venue":"C&EN Global Enterprise","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Presentation (obstetrics); Theme (computing); Political science; Media studies; Sociology; Medicine; Computer science","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":["metaresearch","metaepi_narrow","bibliometrics","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00600289,0.0006071334,0.001161389,0.008707891,0.0002639878,0.003870959,0.00642019,0.0007529703,0.006952941],"category_scores_gemma":[0.02912511,0.0004554212,0.0009944775,0.09093235,0.0002164046,0.0002855375,0.00194588,0.0006773628,0.03455622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007065371,"about_ca_system_score_gemma":0.0008383996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007020083,"about_ca_topic_score_gemma":0.00001494044,"domain_scores_codex":[0.9857159,0.0003197656,0.001354799,0.002240706,0.009074106,0.001294679],"domain_scores_gemma":[0.9907309,0.003464998,0.0005964271,0.001403773,0.002334283,0.001469584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001354204,0.00009005253,0.0006712052,0.00004036245,0.00006980194,0.00003582779,0.00006186354,0.00002578969,0.00006655408,0.00008441197,0.9368371,0.06188156],"study_design_scores_gemma":[0.0007027417,0.0002783978,0.0004972731,0.00003633448,0.00002749334,0.00001029242,0.0001767507,0.001155555,0.0000716007,0.0006687782,0.9958851,0.0004897158],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001050826,0.01058706,0.01778871,0.007081326,0.01504858,0.00213418,0.01256985,0.00009594896,0.9336435],"genre_scores_gemma":[0.1339474,0.008708133,0.004881599,0.00505364,0.00498045,0.0004272357,0.001477738,0.0001939313,0.8403298],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1328966,"threshold_uncertainty_score":0.9997898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2981916699159581,"score_gpt":0.5421405324163878,"score_spread":0.2439488625004297,"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."}}