{"id":"W2499904664","doi":"10.1039/c6ay01506a","title":"Paper-based sperm DNA integrity analysis","year":2016,"lang":"en","type":"article","venue":"Analytical Methods","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Royal Victoria Hospital; University of Toronto; Toronto Public Health; University of New Brunswick","funders":"","keywords":"DNA fragmentation; Chromatin; Sperm; DNA; Fragmentation (computing); Computational biology; Biology; Chemistry; Cell biology; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006807972,0.0001966754,0.0004168073,0.000259757,0.00004379705,0.00003541116,0.0001479706,0.0001963881,0.00158938],"category_scores_gemma":[0.000462393,0.0001216913,0.000449756,0.001172123,0.00011105,0.000100072,0.0000210147,0.0002439567,0.0001525924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009091861,"about_ca_system_score_gemma":0.0000117241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001903753,"about_ca_topic_score_gemma":0.00002187804,"domain_scores_codex":[0.9986543,0.000179944,0.0003298002,0.0002960266,0.0001882428,0.0003516786],"domain_scores_gemma":[0.9986563,0.0006375442,0.0000215714,0.0003843127,0.00005981172,0.0002404317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006783811,0.0001990168,0.005845564,0.00009151017,0.003114001,0.00004177529,0.00002637393,0.003128826,0.16139,0.02492612,0.001851329,0.7993176],"study_design_scores_gemma":[0.0004002097,0.00007511921,0.01353216,0.00002877399,0.001407192,0.000002065552,0.00001237541,0.9030135,0.05239616,0.003848504,0.02480952,0.0004744195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03135201,0.00005492445,0.9590983,0.0009554463,0.000166456,0.00005210739,0.00001127995,0.0003437444,0.00796571],"genre_scores_gemma":[0.9207355,0.00002004409,0.07834994,0.0002756652,0.0001483354,0.000004984993,0.000001929944,0.00002558629,0.0004379797],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8998847,"threshold_uncertainty_score":0.9993233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03293101763394157,"score_gpt":0.3374453785629113,"score_spread":0.3045143609289698,"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."}}