{"id":"W4400222791","doi":"10.15517/ijds.2024.60813","title":"Scientometric Analysis of Activated Carbon or Probiotics in Mouthwashes or Toothpastes: Dynamicity, Spatiotemporal Evolution and Trends","year":2024,"lang":"en","type":"article","venue":"Odovtos - International Journal of Dental Sciences","topic":"Dental Research and COVID-19","field":"Dentistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food science; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008846471,0.0001187776,0.0002610633,0.007098611,0.00005446095,0.0004124117,0.0006517281,0.00005840808,0.0003640052],"category_scores_gemma":[0.0007518885,0.00007805505,0.0001428547,0.009427249,0.0003624824,0.0007321449,0.0001873285,0.0001885223,0.000003045702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005593308,"about_ca_system_score_gemma":0.0003654158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009870502,"about_ca_topic_score_gemma":0.006091655,"domain_scores_codex":[0.9970227,0.00008710431,0.0005631655,0.0002513485,0.001859109,0.0002165834],"domain_scores_gemma":[0.9989766,0.0003513799,0.0002733881,0.000068505,0.0001936765,0.0001363815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001754716,0.0006696787,0.9098654,0.0001015254,0.001488255,0.001593458,0.0008711246,0.002186666,0.03538667,0.002036382,0.0001677441,0.04387842],"study_design_scores_gemma":[0.001511352,0.001318006,0.8789626,0.0004862055,0.00025373,0.0006696979,0.002927124,0.1054519,0.007329808,0.0007083658,0.00008980552,0.0002914608],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976949,0.000331665,0.000198396,0.0001520047,0.0008214937,0.00005920443,0.00007576388,0.0000102009,0.0006563364],"genre_scores_gemma":[0.998745,0.00004562719,0.0001686282,0.00001731736,0.00005986521,0.00000116545,0.000007046646,0.000005581779,0.0009498009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1032652,"threshold_uncertainty_score":0.6334016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05045261791899899,"score_gpt":0.403115850898346,"score_spread":0.352663232979347,"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."}}