{"id":"W4416222203","doi":"10.21203/rs.3.rs-7880930/v1","title":"Field-Ready DNA Extraction from Scat Using Magnetic Nanoparticles: A Simple Tool for Wildlife Monitoring","year":2025,"lang":"","type":"preprint","venue":"Research Square","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; McMaster University","funders":"Centro de Desenvolvimento de Materiais Funcionais; Alberta Innovates; ConocoPhillips","keywords":"DNA extraction; Polymerase chain reaction; Mitochondrial DNA; Transferability; DNA; Environmental DNA; Wildlife; Extraction (chemistry)","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":[0.000536838,0.0006876847,0.0004964827,0.001274207,0.0004246,0.0005878502,0.0006688617,0.001011954,0.002830759],"category_scores_gemma":[0.001191417,0.0004842872,0.0003711849,0.0004250353,0.0004117565,0.0004275314,0.0006051498,0.0008672804,0.002654118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001868584,"about_ca_system_score_gemma":0.0003893187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005056722,"about_ca_topic_score_gemma":0.002241768,"domain_scores_codex":[0.9993289,0.0001226366,0.00003636239,0.0001916409,0.0002679246,0.00005259863],"domain_scores_gemma":[0.9993081,0.0002384797,0.00008799588,0.0001051595,0.0001917849,0.00006842653],"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":[0.0000533413,0.00002546316,0.0006303143,0.00009538924,0.00001215328,0.00003511802,0.00002708477,0.00004560761,0.9871438,0.00008018015,0.0003163131,0.01153533],"study_design_scores_gemma":[0.00002431632,0.0002715362,0.004616756,0.00003149312,0.00006341764,0.0006578528,0.0001179615,0.001984119,0.9801573,0.0005272842,0.01151807,0.00002983964],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2947939,0.003884577,0.6823728,0.001116636,0.001088765,0.0008465007,0.002828398,0.002456952,0.01061143],"genre_scores_gemma":[0.3946112,0.002212323,0.5794213,0.0007720424,0.0002845483,0.0006386606,0.002623915,0.0003179188,0.01911805],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002830759,"threshold_uncertainty_score":0.009469867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.091175140424993,"score_gpt":0.3816877462835261,"score_spread":0.2905126058585331,"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."}}