{"id":"W6900684980","doi":"10.60510/awfwi03778","title":"IGSN AWFWI03778 (EN22071-TG24): Individual Sample (Biology, leaf for DNA analyses) of sample EN22071-T24 from Fort Nelson River lowlands, British Columbia, 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","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":[0.001326844,0.001944596,0.001552784,0.008514265,0.004303666,0.002391822,0.003639675,0.001786891,0.2093801],"category_scores_gemma":[0.002915758,0.001204547,0.0005585058,0.01510155,0.0007249235,0.0007822199,0.00196861,0.001361766,0.1667429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004699325,"about_ca_system_score_gemma":0.01067005,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5428491,"about_ca_topic_score_gemma":0.7965977,"domain_scores_codex":[0.9988223,0.00005036715,0.00006932601,0.000359692,0.0003872158,0.0003111765],"domain_scores_gemma":[0.9979304,0.0001587191,0.0001478691,0.0004655552,0.0009050061,0.0003925521],"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":[0.0001964761,0.00003916853,0.003578823,0.0005297984,0.00003447261,0.0001471346,0.0005173706,0.0001706199,0.004058355,0.001549692,0.9602862,0.02889181],"study_design_scores_gemma":[0.0000471493,0.00001160906,0.01831057,0.0002236477,0.00004526142,0.0001171316,0.0001933506,0.0000822583,0.00145965,0.0007806847,0.9786936,0.00003511204],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002524345,0.0001295626,0.001780257,0.00008049035,0.00007276254,0.00013031,0.9585927,0.001693823,0.03499575],"genre_scores_gemma":[0.003176347,0.0001467191,0.003577965,0.0001297975,0.0000170259,0.0003203517,0.9604048,0.002138668,0.03008826],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7906199,"threshold_uncertainty_score":0.9196863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0583197568075526,"score_gpt":0.3153754353080416,"score_spread":0.257055678500489,"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."}}