{"id":"W4385569455","doi":"10.17504/protocols.io.261ge3qpwl47/v1","title":"iPSC differentiation into Microglia v1","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Neuroinflammation and Neurodegeneration Mechanisms","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stemcell Technologies","funders":"","keywords":"Microglia; Neuroscience; Psychology; Biology; Immunology; Inflammation","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":[0.0006851285,0.0012116,0.0007312472,0.0009027343,0.001032356,0.001115388,0.001076958,0.001041908,0.02010633],"category_scores_gemma":[0.0005629339,0.0005491718,0.0008776794,0.0006624972,0.000363774,0.0005063074,0.0008732258,0.002819133,0.01929305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004564216,"about_ca_system_score_gemma":0.0007762249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008890358,"about_ca_topic_score_gemma":0.001223886,"domain_scores_codex":[0.9991437,0.00007994573,0.0001026936,0.0001612741,0.0003241028,0.0001882932],"domain_scores_gemma":[0.9997136,0.00004526175,0.00001877143,0.00009981815,0.00007290049,0.00004955146],"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":[0.0003887765,0.0001554555,0.0002814888,0.0006121104,0.00004211552,0.0004263226,0.0003024398,0.0006174445,0.9441841,0.007755432,0.01786636,0.02736799],"study_design_scores_gemma":[0.00006260178,0.0001544589,0.001314438,0.000167929,0.00006751826,0.0007560335,0.0000591142,0.000869907,0.6947981,0.002023967,0.2996885,0.00003751702],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2221536,0.01525035,0.3406009,0.00217708,0.00605333,0.008414954,0.1098422,0.0104765,0.2850311],"genre_scores_gemma":[0.3653049,0.01768066,0.1538007,0.00272087,0.0007063254,0.01658602,0.161647,0.005005355,0.276548],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02010633,"threshold_uncertainty_score":0.06726241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07671544145363532,"score_gpt":0.2952006451413848,"score_spread":0.2184852036877495,"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."}}