{"id":"W4286470456","doi":"10.1017/s1431927622007176","title":"Exploring Calcium Phosphate Biomineralization Systems Using <i>In Situ</i> Liquid Phase Electron Microscopy","year":2022,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McMaster University","funders":"","keywords":"Biomineralization; In situ; Calcium; Phase (matter); Electron microscope; Materials science; Phosphate; Chemical engineering; Nanotechnology; Chemistry; Optics; Metallurgy; Physics; Engineering; Organic chemistry","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":[0.0002458188,0.0003204543,0.0001275277,0.0001777843,0.0003002758,0.0006246702,0.0003199022,0.0005056529,0.00127844],"category_scores_gemma":[0.0001829042,0.0002266785,0.0001500877,0.0001340323,0.0003578864,0.0006533508,0.000354024,0.000485665,0.000311545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002755225,"about_ca_system_score_gemma":0.0001933739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000668733,"about_ca_topic_score_gemma":0.00180441,"domain_scores_codex":[0.9999042,0.00001139753,0.00000400612,0.00002518076,0.00003604989,0.00001920999],"domain_scores_gemma":[0.9999168,0.00003355378,0.0000188809,0.000007483507,0.00001862194,0.000004752929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001522213,0.000009550619,0.00009193911,0.00005369055,0.000002308107,0.0000494872,0.00003439074,0.0001400744,0.9963266,0.0005224628,0.0001270012,0.002627345],"study_design_scores_gemma":[0.000005857786,0.00002931962,0.0003435639,0.000008106202,0.000004798444,0.0001122235,0.00005716219,0.002481726,0.9943268,0.0001605012,0.002463613,0.000006439866],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.888956,0.00463786,0.08302297,0.001163145,0.0001218279,0.00009969571,0.0002522223,0.0005124865,0.02123376],"genre_scores_gemma":[0.958126,0.001733006,0.03509901,0.0001921486,0.00002597071,0.00005154406,0.0001020938,0.00008880877,0.004581387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00127844,"threshold_uncertainty_score":0.004276752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02989982373712769,"score_gpt":0.2749012267872262,"score_spread":0.2450014030500985,"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."}}