{"id":"W3183563534","doi":"10.21203/rs.3.rs-753708/v1","title":"Modeling lung cell development using human pluripotent stem cells","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Neonatal Respiratory Health Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Induced pluripotent stem cell; Human lung; Stem cell; Lung; Cell biology; Cell; Human Induced Pluripotent Stem Cells; Biology; Computational biology; Embryonic stem cell; Medicine; Internal medicine; Genetics; Gene","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":[0.0002225663,0.000528247,0.0002972715,0.000307962,0.000199281,0.0006501903,0.0006782286,0.001366768,0.003891374],"category_scores_gemma":[0.0009121104,0.000403999,0.0007048616,0.0002726855,0.0003757098,0.0003644879,0.0004715197,0.0005141265,0.0004057871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005077922,"about_ca_system_score_gemma":0.0007725386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009361075,"about_ca_topic_score_gemma":0.005001506,"domain_scores_codex":[0.9998984,0.00002333955,0.000004136735,0.0000218874,0.00003660684,0.000015587],"domain_scores_gemma":[0.9997264,0.0001745648,0.00002739367,0.00001366038,0.00003723638,0.00002077325],"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":[0.0000120148,0.0000108173,0.000454315,0.00003148138,0.000007890095,0.00005292476,0.00001680728,0.9888667,0.002767239,0.005257945,0.0003524406,0.002169349],"study_design_scores_gemma":[0.000005956661,0.00000755585,0.0001041564,0.000004077284,0.000004354696,0.00001584881,0.000006397857,0.9963994,0.001118307,0.001585052,0.0007464447,0.000002452536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2878788,0.001265635,0.6539828,0.001004997,0.0002794279,0.0001140527,0.002595933,0.0006575272,0.05222083],"genre_scores_gemma":[0.8924099,0.001000472,0.07637255,0.0001842341,0.00005991082,0.0001465607,0.001204545,0.0002839926,0.02833784],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009361075,"threshold_uncertainty_score":0.01861322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2488401325013472,"score_gpt":0.4805722740269032,"score_spread":0.231732141525556,"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."}}