{"id":"W6938181610","doi":"10.60510/awfwi03306","title":"IGSN AWFWI03306 (EN22027-TG03): Individual Sample (Biology, leaf for DNA analyses) of sample EN22027-T03 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":[],"consensus_categories":[],"category_scores_codex":[0.001614563,0.001712513,0.001424773,0.007126859,0.002327898,0.001873017,0.003257807,0.001687061,0.1920004],"category_scores_gemma":[0.003441344,0.001152823,0.0006258338,0.0145655,0.0006131153,0.0008879238,0.001909515,0.001267631,0.1955986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00217203,"about_ca_system_score_gemma":0.005979012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.148845,"about_ca_topic_score_gemma":0.267679,"domain_scores_codex":[0.9986665,0.00009686904,0.0001072345,0.0004268246,0.0004110714,0.000291473],"domain_scores_gemma":[0.9978039,0.0002829958,0.0002322203,0.0006162334,0.0007167602,0.0003478972],"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":[0.0002062938,0.00005854563,0.00335186,0.0005496224,0.00003501644,0.00009575343,0.0003981062,0.0002113088,0.003704673,0.001607118,0.9659985,0.02378336],"study_design_scores_gemma":[0.00007108497,0.0000179226,0.01648371,0.0001935015,0.00004114726,0.0001135361,0.0001693936,0.0001214368,0.00173258,0.0009347139,0.980091,0.00002988578],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001352002,0.00005483253,0.001500431,0.00004538807,0.00004170886,0.00008653633,0.9777465,0.001087644,0.01808488],"genre_scores_gemma":[0.001339146,0.000064717,0.002965321,0.00007294142,0.00001143623,0.0002628696,0.9845625,0.001298444,0.009422706],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1920004,"threshold_uncertainty_score":0.6423054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0626820065582053,"score_gpt":0.317847867752154,"score_spread":0.2551658611939487,"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."}}