{"id":"W2056296759","doi":"10.1111/j.1365-2842.2004.01302.x","title":"Effectiveness of wet and dry mercury vapour suppressant systems in a faculty of dentistry clinic","year":2004,"lang":"en","type":"article","venue":"Journal of Oral Rehabilitation","topic":"Dental Research and COVID-19","field":"Dentistry","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Mercury (programming language); Scrap; Chemistry; Dentistry; Metallurgy; Materials science; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002532827,0.0004542116,0.0007165051,0.000807219,0.0009031202,0.001111288,0.0008411699,0.0007074977,0.003980383],"category_scores_gemma":[0.009757224,0.0004839952,0.0003176232,0.0005536468,0.0009946106,0.0006370498,0.001158613,0.0007102401,0.001046612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001063245,"about_ca_system_score_gemma":0.001483965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002339807,"about_ca_topic_score_gemma":0.004531025,"domain_scores_codex":[0.9950122,0.00123524,0.000252986,0.0006630703,0.002488807,0.0003476066],"domain_scores_gemma":[0.990838,0.003301268,0.0024551,0.0004887959,0.001503671,0.001413265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01606274,0.009028983,0.3682546,0.001392125,0.0002257133,0.00162219,0.006196416,0.000524703,0.209039,0.0002112319,0.001880075,0.3855623],"study_design_scores_gemma":[0.001117963,0.1081227,0.7106398,0.0002524407,0.0005902711,0.009310841,0.008535324,0.003013477,0.1444008,0.0002126543,0.01351966,0.000284003],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971866,0.001079909,0.0005437619,0.0001202805,0.00001896523,0.00008925483,0.00006336363,0.00005342565,0.0008443755],"genre_scores_gemma":[0.9921654,0.0006646501,0.005110147,0.000246721,0.00007018858,0.00006339825,0.0001497652,0.00002626926,0.001503372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003980383,"threshold_uncertainty_score":0.01339501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03272731819927302,"score_gpt":0.389795449335431,"score_spread":0.357068131136158,"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."}}