{"id":"W4248186773","doi":"10.1038/sj.bdj.2016.814","title":"Guidelines for the selection, use, and maintenance of LED light-curing units – Part II","year":2016,"lang":"en","type":"article","venue":"BDJ","topic":"Experience-Based Knowledge Management","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Curing (chemistry); Selection (genetic algorithm); Computer science; Reliability engineering; Dentistry; Materials science; Medicine; Engineering; Polymer chemistry; Artificial intelligence","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":[0.0002901501,0.00007461428,0.0000820615,0.0000392979,0.0001697049,0.00004551321,0.0003725684,0.00001771239,0.00000393444],"category_scores_gemma":[0.0005843444,0.00003906206,0.00002068943,0.0002678361,0.00004209151,0.0002681991,0.0002382793,0.00001918769,0.000002986082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001847818,"about_ca_system_score_gemma":0.00003808337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001120612,"about_ca_topic_score_gemma":0.00006352773,"domain_scores_codex":[0.9993204,0.00001998642,0.0001870046,0.0002066114,0.0001024427,0.0001635857],"domain_scores_gemma":[0.9988005,0.0001738353,0.00007573668,0.0002973169,0.0006233656,0.00002923012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003665368,0.00007689348,0.004599063,0.00006748424,0.0000787309,0.000002161662,0.002840682,0.00008723071,0.01254554,0.5089132,0.3291736,0.1415788],"study_design_scores_gemma":[0.0006292965,0.0001434741,0.001374886,0.0001569627,0.00000948679,0.000004211383,0.00009297943,0.01114065,0.04413432,0.001777231,0.9403797,0.0001567689],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03374837,0.0003863035,0.9454963,0.01804413,0.0006613068,0.0004664258,0.000002516704,0.0001133054,0.001081322],"genre_scores_gemma":[0.9455408,0.0001594866,0.03069647,0.0007497045,0.0002872906,0.0001945373,2.887589e-7,0.00001542413,0.02235596],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9147999,"threshold_uncertainty_score":0.1592904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0816578722955148,"score_gpt":0.2876307883885408,"score_spread":0.205972916093026,"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."}}