{"id":"W4361858216","doi":"10.17504/protocols.io.q26g7yzz3gwz/v1","title":"HTTM : DNA Extraction v1","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Extraction (chemistry); Computer science; Computational biology; Chromatography; Chemistry; 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":[0.002347298,0.004786364,0.003141036,0.004914223,0.001775723,0.001731409,0.004332195,0.002021866,0.1265604],"category_scores_gemma":[0.004464737,0.003281462,0.003063523,0.002746678,0.001430011,0.001556895,0.002801798,0.006284036,0.1667906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001114004,"about_ca_system_score_gemma":0.002442899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001563662,"about_ca_topic_score_gemma":0.003457288,"domain_scores_codex":[0.9963059,0.0006461811,0.0005530317,0.001178745,0.0008887923,0.0004274448],"domain_scores_gemma":[0.998389,0.0004598218,0.00009311093,0.0006705272,0.0002116526,0.0001759833],"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":[0.001294171,0.000634356,0.001069872,0.005185233,0.0003709585,0.0007454579,0.0003956759,0.001421709,0.4945162,0.006255366,0.3766484,0.1114626],"study_design_scores_gemma":[0.0005725441,0.0007259053,0.003167092,0.0006473519,0.0002966325,0.001410351,0.00008125193,0.002351286,0.2426556,0.004868834,0.7429409,0.0002822582],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.01056647,0.006616856,0.5080413,0.001417584,0.002034627,0.0179121,0.3516911,0.07399905,0.02772086],"genre_scores_gemma":[0.01279705,0.003425041,0.2705386,0.0015294,0.0003874789,0.01901469,0.6230735,0.02054507,0.04868919],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.1265604,"threshold_uncertainty_score":0.4233867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03245516064067451,"score_gpt":0.2544227646178899,"score_spread":0.2219676039772154,"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."}}