{"id":"W2051830116","doi":"10.1016/j.ajodo.2007.12.029","title":"Chemical composition of enamel surface as a predictor of in-vitro shear bond strength","year":2009,"lang":"en","type":"article","venue":"American Journal of Orthodontics and Dentofacial Orthopedics","topic":"Dental materials and restorations","field":"Dentistry","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Enamel paint; X-ray photoelectron spectroscopy; Bond strength; Composition (language); Dental bonding; Chemical bond; Chemical composition; Shear strength (soil); Materials science; Composite material; Dentistry; Chemistry; Chemical engineering; Adhesive; Medicine; Organic chemistry; Geology; Soil water","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":[0.0004060295,0.0002562834,0.0002792306,0.0007224435,0.0002259295,0.0003803139,0.0001400161,0.0003818208,0.001152396],"category_scores_gemma":[0.001154489,0.0002353318,0.0002154322,0.0005657187,0.0001891306,0.0001921443,0.0001116924,0.0003698838,0.0002343033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001260179,"about_ca_system_score_gemma":0.0001673852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001218383,"about_ca_topic_score_gemma":0.001382992,"domain_scores_codex":[0.9998251,0.00006021116,0.00001731824,0.00002093513,0.00005694934,0.00001955975],"domain_scores_gemma":[0.9987519,0.0006247543,0.0002849882,0.00003756071,0.0002121117,0.00008857348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004754342,0.0005343371,0.6485584,0.0001196744,0.0003439857,0.0002535242,0.0001225694,0.0003516789,0.3334917,0.00004806594,0.0001294828,0.01129221],"study_design_scores_gemma":[0.00002120452,0.000981126,0.8885359,0.000009257351,0.0002691441,0.0007645407,0.0002063714,0.002017827,0.1068139,0.00006769377,0.0003023623,0.00001064496],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993054,0.0002948968,0.0001464806,0.00001212827,0.000005132072,0.000004521589,0.00006454153,0.000003548034,0.0001634768],"genre_scores_gemma":[0.9989899,0.0002501867,0.0003621855,0.00001207955,0.000006470172,0.000003811872,0.0001203851,0.000003164007,0.0002518514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001218383,"threshold_uncertainty_score":0.003855169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009257528227556112,"score_gpt":0.2719060281826795,"score_spread":0.2626484999551234,"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."}}