{"id":"W7132942232","doi":"","title":"Development of Microfluidic Platforms for Sperm Protein 10 Measurement","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Nitrocellulose; Sperm; Semen; Microfluidics; Immunoassay; Infertility; Colloidal gold","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004590411,0.0006755792,0.0002843677,0.0004185229,0.0002213121,0.000426542,0.000720939,0.0005284777,0.000860922],"category_scores_gemma":[0.000418627,0.0004431667,0.0003520939,0.0002077406,0.0002109818,0.0004255192,0.0004560335,0.0004991148,0.0004889808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004790435,"about_ca_system_score_gemma":0.0004829915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000316868,"about_ca_topic_score_gemma":0.0005075829,"domain_scores_codex":[0.9996901,0.00002996071,0.0000257656,0.00009392596,0.0001182914,0.00004198642],"domain_scores_gemma":[0.9998393,0.00005211443,0.00004188519,0.00001295245,0.00003942201,0.00001437324],"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":[0.00003293359,0.00005266297,0.000387449,0.0002867954,0.00002282498,0.00009963205,0.00005544058,0.0008496852,0.9735324,0.001661557,0.0008859409,0.02213256],"study_design_scores_gemma":[0.00002269625,0.0002999847,0.001361695,0.00003602163,0.00002943855,0.0001629769,0.00002569719,0.009557024,0.9720241,0.0003489903,0.0160891,0.00004222366],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5135282,0.01249962,0.4484698,0.001272659,0.001115482,0.001364401,0.001988308,0.004117277,0.01564421],"genre_scores_gemma":[0.5173155,0.007252678,0.4638099,0.0004965761,0.0001519332,0.001978529,0.001219744,0.00008224889,0.007692798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000860922,"threshold_uncertainty_score":0.003475726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03943838411648699,"score_gpt":0.2915512511086154,"score_spread":0.2521128669921284,"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."}}