{"id":"W4403560873","doi":"10.17504/protocols.io.14egn33zzl5d/v1","title":"Olfactory Organoids v1","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Olfactory and Sensory Function Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital","funders":"","keywords":"Organoid; Neuroscience; Computer science; Biology","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":[0.0006976473,0.001227373,0.0006528374,0.001039695,0.001087554,0.001139916,0.00156268,0.001413697,0.02781936],"category_scores_gemma":[0.0005119826,0.0007180148,0.0009689747,0.0006022382,0.0004935593,0.0004823621,0.001506558,0.002566369,0.03009889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006373813,"about_ca_system_score_gemma":0.0006142035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00156291,"about_ca_topic_score_gemma":0.002779553,"domain_scores_codex":[0.9989808,0.00007453674,0.000112815,0.0002899395,0.0003486968,0.0001932613],"domain_scores_gemma":[0.9995641,0.00008240125,0.00003695337,0.0001480255,0.0000716925,0.00009676498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001778535,0.00005601988,0.0001899108,0.0002037658,0.00001774933,0.0002637408,0.0001582993,0.0001887817,0.9802587,0.002770653,0.004405423,0.01130919],"study_design_scores_gemma":[0.00004404709,0.0001770637,0.002339874,0.00008795034,0.00004552229,0.001128707,0.00005522346,0.0007215698,0.7737794,0.0006711798,0.2209138,0.00003553078],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.2591362,0.008605728,0.299493,0.001091745,0.00296052,0.006842229,0.13039,0.01104427,0.2804364],"genre_scores_gemma":[0.3999298,0.00521805,0.1512102,0.001155406,0.0001873095,0.006997405,0.1735341,0.00617366,0.255594],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.02781936,"threshold_uncertainty_score":0.09306502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3646186047208252,"score_gpt":0.3079919948537067,"score_spread":0.05662660986711854,"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."}}