{"id":"W6938131496","doi":"10.60510/awfwi03320","title":"IGSN AWFWI03320 (EN22030-TG02): Individual Sample (Biology, leaf for DNA analyses) of sample EN22030-T02 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":[0.00153123,0.001843173,0.001403517,0.007369446,0.002153589,0.00181285,0.003310158,0.001627487,0.2250851],"category_scores_gemma":[0.003432232,0.00114932,0.0006611008,0.01385847,0.0005542419,0.0009229106,0.001908254,0.001189751,0.2277972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002055652,"about_ca_system_score_gemma":0.005570712,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.137701,"about_ca_topic_score_gemma":0.2578471,"domain_scores_codex":[0.9987451,0.00008807205,0.0000993088,0.0004053377,0.0003852953,0.0002768936],"domain_scores_gemma":[0.9978703,0.0002545425,0.0002147162,0.000610631,0.0007192631,0.0003305984],"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":[0.0001715404,0.00004699839,0.002629311,0.0005105304,0.00002897462,0.00007559458,0.0003193694,0.0001755179,0.003006238,0.001385508,0.9692441,0.02240633],"study_design_scores_gemma":[0.00005923829,0.00001517806,0.01286918,0.0001712738,0.00003562597,0.00008865911,0.0001302259,0.0001097408,0.001558683,0.0008493683,0.9840869,0.00002589124],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001134025,0.0000536071,0.001405981,0.00004377542,0.00004191941,0.00007996657,0.976104,0.001260573,0.01987624],"genre_scores_gemma":[0.001187983,0.00006070431,0.002845716,0.0000714688,0.00001198046,0.0002421212,0.9835823,0.001484805,0.01051292],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.862299,"threshold_uncertainty_score":0.7529846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06622735514005214,"score_gpt":0.3192810179019603,"score_spread":0.2530536627619082,"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."}}