{"id":"W2187393042","doi":"10.1098/rsta.2011.0274","title":"Surface characterization of silicate bioceramics","year":2012,"lang":"en","type":"review","venue":"Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Characterization (materials science); Silicate; Materials science; Surface roughness; Porosity; Surface finish; Nanotechnology; Surface (topology); Property (philosophy); Chemical engineering; Composite material; Engineering; Mathematics; Geometry","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":[0.0002323233,0.0003631837,0.00114712,0.00003304943,0.00007606769,0.0000254441,0.0004002929,0.0002134772,0.00001771925],"category_scores_gemma":[0.00001634128,0.0002433824,0.0005985324,0.0004749959,0.0004039187,0.0001013486,0.00003781236,0.0003696908,0.000005954953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003270036,"about_ca_system_score_gemma":0.00001852482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001343468,"about_ca_topic_score_gemma":1.282652e-8,"domain_scores_codex":[0.9986224,0.00002705796,0.0005367041,0.0002073295,0.0003084233,0.0002981182],"domain_scores_gemma":[0.9992505,0.0002534887,0.0001082816,0.0002613333,0.00002196435,0.0001044891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007216295,0.001385148,0.000001537344,0.2977123,0.002174022,7.706324e-7,0.002353033,0.4511833,0.01974199,0.06048198,0.00001361806,0.1649451],"study_design_scores_gemma":[0.0002810929,0.000156623,0.00003167189,0.01187195,0.003042108,0.00002538478,0.00001481083,0.9555582,0.003457551,0.01133059,0.01257616,0.00165382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02470528,0.8512762,0.1192521,0.0002859393,0.001260906,0.00161921,0.0005366944,0.0007856935,0.0002779308],"genre_scores_gemma":[0.4990568,0.4949404,0.005224429,0.00000479301,0.0004634006,0.0000740711,0.00001218393,0.0001695272,0.00005438982],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.5043749,"threshold_uncertainty_score":0.9924845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03901245272846829,"score_gpt":0.2578196145475901,"score_spread":0.2188071618191218,"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."}}