{"id":"W4294770892","doi":"10.1016/j.cryobiol.2022.08.005","title":"Real-time computer assisted measurement of oocyte and embryo volume for assessment of transport parameters","year":2022,"lang":"en","type":"article","venue":"Cryobiology","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Cryopreservation; Oocyte; Computer science; Process (computing); Biological system; Smoothing; Set (abstract data type); Embryo; Simulation; Biomedical engineering; Biology; Computer vision; Cell biology; Engineering","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":[0.0006278379,0.0004127316,0.0004366177,0.0009585588,0.0002392006,0.0007109973,0.0006541924,0.0006123976,0.002967155],"category_scores_gemma":[0.0009261986,0.0002238974,0.0002592541,0.000672638,0.0002684319,0.0004543692,0.0003713612,0.0004854394,0.0004202654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002593775,"about_ca_system_score_gemma":0.0004587519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001171391,"about_ca_topic_score_gemma":0.002138686,"domain_scores_codex":[0.9994979,0.0001024399,0.00002321004,0.0001114266,0.0002406744,0.00002429789],"domain_scores_gemma":[0.9993532,0.0002868104,0.00008101162,0.00006246776,0.0001853455,0.00003106981],"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":[0.001440653,0.0001543702,0.01076797,0.0004940322,0.00007186072,0.0001795257,0.0003198635,0.003521448,0.840097,0.0007200557,0.001612275,0.140621],"study_design_scores_gemma":[0.0002233758,0.00193462,0.1374541,0.0001516322,0.0004061905,0.003597975,0.000342196,0.2169237,0.6238293,0.001463015,0.01337693,0.0002969944],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4171131,0.00411544,0.5655684,0.0002744728,0.0002466701,0.0005434457,0.002169729,0.003968772,0.005999975],"genre_scores_gemma":[0.7148893,0.001343576,0.2772227,0.0002562322,0.00009315734,0.0006821477,0.0006170184,0.0002996852,0.004596221],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002967155,"threshold_uncertainty_score":0.009926081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05226497957759159,"score_gpt":0.3032026287293729,"score_spread":0.2509376491517813,"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."}}