{"id":"W3012781864","doi":"10.1002/jdd.12113","title":"Training and experience effect on light‐curing efficiency by dental practitioners","year":2020,"lang":"en","type":"article","venue":"Journal of Dental Education","topic":"Dental materials and restorations","field":"Dentistry","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curing (chemistry); Medical education; Dentistry; Psychology; Medicine; Materials science; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00219974,0.000293784,0.000294541,0.0003146509,0.000257297,0.000341973,0.0002954843,0.0004059939,0.006049429],"category_scores_gemma":[0.009965931,0.0002260308,0.0002631555,0.000144332,0.0003062621,0.0003084648,0.0008037607,0.0003469343,0.000352668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003117839,"about_ca_system_score_gemma":0.0004736969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006088823,"about_ca_topic_score_gemma":0.0009881256,"domain_scores_codex":[0.9985751,0.0005126068,0.00008528582,0.0001979897,0.0003094085,0.0003196327],"domain_scores_gemma":[0.9909124,0.005706606,0.0008162468,0.0002158104,0.0005817398,0.001767061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01950528,0.03325545,0.5269001,0.001300553,0.0002722136,0.0006908976,0.01989479,0.001054734,0.04537867,0.0001750656,0.001278723,0.3502935],"study_design_scores_gemma":[0.000380494,0.0363631,0.9530932,0.0001213962,0.0001203122,0.0003259017,0.003655219,0.0004928542,0.003652914,0.0000612347,0.001701142,0.00003214519],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992933,0.0001135888,0.00005289253,0.00003082268,0.000005548613,0.00002261242,0.000007523508,0.000003208897,0.0004703796],"genre_scores_gemma":[0.9987881,0.0001436849,0.0003626816,0.00003265364,0.00001559174,0.00006268377,0.00001504878,0.000002032681,0.0005775298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006049429,"threshold_uncertainty_score":0.02023733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01728773379142959,"score_gpt":0.3201156840830244,"score_spread":0.3028279502915948,"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."}}