{"id":"W4411859237","doi":"10.17504/protocols.io.ewov19mwolr2/v1","title":"Total DNA extraction v1","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Plant Virus Research Studies","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; Business; Chemistry; Chromatography","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":[0.002118191,0.003564594,0.003053061,0.003835408,0.002180479,0.00166311,0.003614632,0.001569513,0.1059516],"category_scores_gemma":[0.002665982,0.001905876,0.002443724,0.002906696,0.001174242,0.001012344,0.002581421,0.004424942,0.1262655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007896974,"about_ca_system_score_gemma":0.001950442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001455575,"about_ca_topic_score_gemma":0.003939815,"domain_scores_codex":[0.9964119,0.0004726784,0.0004487078,0.001350305,0.0008101322,0.000506274],"domain_scores_gemma":[0.9987693,0.0002846344,0.00006710875,0.0004329848,0.0003171059,0.0001287771],"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":[0.00104538,0.0008174561,0.00202001,0.004831499,0.0002971554,0.001421367,0.0006754811,0.001890172,0.637984,0.01161998,0.1489974,0.1884002],"study_design_scores_gemma":[0.0002800135,0.000867973,0.002781637,0.0006591759,0.0003126468,0.001274383,0.0001300821,0.002553169,0.1934429,0.004292496,0.7932189,0.0001866894],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02072266,0.009895526,0.7404893,0.0008024258,0.002046272,0.0271759,0.09412029,0.03791689,0.06683073],"genre_scores_gemma":[0.03419557,0.009079211,0.4803555,0.002472409,0.0004586869,0.04013394,0.3043766,0.01076698,0.118161],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1059516,"threshold_uncertainty_score":0.3544433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0646986039070317,"score_gpt":0.3125918212814642,"score_spread":0.2478932173744325,"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."}}