{"id":"W4281391882","doi":"10.1016/j.mex.2022.101738","title":"Project SWAVE 2.0: An overview of the study design for multimodal placental image acquisition and alignment","year":2022,"lang":"en","type":"article","venue":"MethodsX","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"B.C. Women's Hospital & Health Centre; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Microsoft Research; Microsoft; Schlumberger Foundation","keywords":"Placenta; Correlative; Fiducial marker; Computer science; Image registration; Artificial intelligence; Human placenta; Protocol (science); Computational biology; Pathology; Medicine; Bioinformatics; Medical physics; Computer vision; Biology; Image (mathematics); Pregnancy; Fetus","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02174294,0.001966619,0.0009824922,0.002349909,0.0009222386,0.001801944,0.001858308,0.001351179,0.02096838],"category_scores_gemma":[0.01186491,0.001671149,0.001022419,0.001238262,0.001112865,0.0009771046,0.003084175,0.001726359,0.005474903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007481495,"about_ca_system_score_gemma":0.004485405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009766355,"about_ca_topic_score_gemma":0.001048213,"domain_scores_codex":[0.9959155,0.002172728,0.0003261761,0.0004806915,0.0008981001,0.0002068891],"domain_scores_gemma":[0.9954982,0.001341276,0.0003752036,0.0007355572,0.001560442,0.000489396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005925979,0.001187321,0.01250108,0.005014514,0.0005194612,0.001084897,0.001883097,0.01243456,0.1516431,0.01533042,0.02589602,0.7665796],"study_design_scores_gemma":[0.002530864,0.01631819,0.03557185,0.002865649,0.001076926,0.008102302,0.001117476,0.08827735,0.1955297,0.02528598,0.6225631,0.0007607325],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.01489778,0.002432279,0.9479339,0.0004737149,0.0002800351,0.02138374,0.002296886,0.0049174,0.005384359],"genre_scores_gemma":[0.02255626,0.00164458,0.9234225,0.0002021596,0.000117424,0.04600434,0.0016023,0.001791964,0.002658546],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.02174294,"threshold_uncertainty_score":0.114989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1722495190702641,"score_gpt":0.4229701446596255,"score_spread":0.2507206255893614,"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."}}