{"id":"W3165506844","doi":"10.1002/anbr.202100042","title":"Engineered In vitro Models for Pathological Calcification: Routes Toward Mechanistic Understanding","year":2021,"lang":"en","type":"article","venue":"Advanced NanoBiomed Research","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Medical Research Council; Wellcome Trust","keywords":"Calcification; Pathological; Mineralization (soil science); In vitro; Mineralized tissues; Extracellular matrix; Biology; Cell biology; Neuroscience; Chemistry; Medicine; Pathology; Biochemistry; Ecology","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":[0.0007653388,0.0001954397,0.0003385692,0.0003685039,0.00007929001,0.00007230022,0.0002273666,0.0001732242,0.00003392286],"category_scores_gemma":[0.0003774138,0.0002086685,0.00005754128,0.0009653672,0.00005381293,0.0001916821,0.00007173649,0.0002917472,0.00001887207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000621875,"about_ca_system_score_gemma":0.00005257632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001897656,"about_ca_topic_score_gemma":0.000001667919,"domain_scores_codex":[0.9980813,0.00008659207,0.0003533351,0.0003885035,0.0003297426,0.000760535],"domain_scores_gemma":[0.9987895,0.0005712939,0.00001623461,0.0003600196,0.0001388242,0.0001240665],"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":[0.0000464424,0.00002818461,3.674224e-7,0.000224438,0.00001441212,0.00006948069,0.000211614,0.08105892,0.9045913,0.01236595,0.00006954006,0.001319422],"study_design_scores_gemma":[0.0009158707,0.00004705462,0.0000178395,0.00008215653,0.000005108345,0.0000184416,0.0004655759,0.1640934,0.8011234,0.03200009,0.0009297435,0.0003013078],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04225352,0.001813866,0.9526213,0.0003416238,0.0009164774,0.0008600214,0.0001383201,0.0005626153,0.0004922979],"genre_scores_gemma":[0.9646093,0.000205228,0.03425502,0.000005282387,0.0000782569,0.0004466468,0.0001210412,0.00007355838,0.0002057164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9223557,"threshold_uncertainty_score":0.8509253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.16202920110225,"score_gpt":0.3451056476422926,"score_spread":0.1830764465400426,"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."}}