{"id":"W6900754130","doi":"10.60510/awfwi03313","title":"IGSN AWFWI03313 (EN22029-TG01): Individual Sample (Biology, leaf for DNA analyses) of sample EN22029-T01 from Peel River Watershed, Northwest Territories, CA","year":2024,"lang":"en","type":"other","venue":"GFZ IGSN Sample Catalogue","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sample (material); DNA; Quality (philosophy)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001534104,0.001747817,0.001362399,0.006705048,0.002309409,0.001822635,0.003295176,0.001711341,0.2113288],"category_scores_gemma":[0.003381264,0.001135512,0.0006377958,0.01288094,0.0005747366,0.0008766852,0.001890341,0.001213901,0.2058947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002036545,"about_ca_system_score_gemma":0.005352278,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1304831,"about_ca_topic_score_gemma":0.2539213,"domain_scores_codex":[0.9987698,0.00008508788,0.00009847435,0.0003978824,0.0003760926,0.0002725433],"domain_scores_gemma":[0.9979376,0.0002651653,0.0002093452,0.0005771943,0.0006741671,0.0003365704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001873506,0.00005437891,0.002984758,0.0005157733,0.00003177964,0.0001001795,0.0003451948,0.0001880087,0.003388705,0.001541119,0.9683114,0.02235156],"study_design_scores_gemma":[0.00006865209,0.00001646962,0.01477747,0.0001919908,0.00003891682,0.0001082412,0.0001453631,0.0001143602,0.001619632,0.0009229946,0.9819677,0.00002807024],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00131763,0.00005320574,0.001536773,0.0000496839,0.00004659214,0.00008842158,0.9753723,0.001178617,0.02035684],"genre_scores_gemma":[0.001340448,0.00006159862,0.002888336,0.00007927581,0.00001204263,0.0002541856,0.9840468,0.001360783,0.009956561],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8695169,"threshold_uncertainty_score":0.7069652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06274105671569857,"score_gpt":0.3180108955845577,"score_spread":0.2552698388688591,"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."}}