{"id":"W6956866703","doi":"10.60510/awfwi03727","title":"IGSN AWFWI03727 (EN22069-TG06): Individual Sample (Biology, leaf for DNA analyses) of sample EN22069-T06 from Fort Nelson - T8 Area East, 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; Sample size determination; Sampling (signal processing)","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":[0.001251455,0.00169425,0.001326795,0.008823857,0.003827326,0.002027542,0.003391698,0.001438463,0.2095236],"category_scores_gemma":[0.003162898,0.001017949,0.0004868952,0.01675831,0.000630897,0.0007242807,0.001778766,0.001225827,0.1852162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004772608,"about_ca_system_score_gemma":0.01083563,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5863991,"about_ca_topic_score_gemma":0.7934679,"domain_scores_codex":[0.9987724,0.00005508595,0.00006931052,0.0003340407,0.0004295738,0.0003395403],"domain_scores_gemma":[0.9970903,0.0001786851,0.0001856638,0.0006304707,0.001432413,0.0004823841],"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":[0.0001737198,0.00003898954,0.003545207,0.0003912081,0.00002273227,0.00009008433,0.0004017487,0.0001491388,0.002757214,0.001224874,0.9648229,0.02638202],"study_design_scores_gemma":[0.00004301896,0.00001270653,0.02372809,0.0001753791,0.00003252573,0.0000847301,0.000221295,0.00008978586,0.001431108,0.0006695078,0.9734814,0.00003046489],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002215512,0.00007465346,0.001160426,0.0000571348,0.00005597902,0.0001205612,0.9624664,0.001268381,0.03258096],"genre_scores_gemma":[0.002647125,0.00009103693,0.002843914,0.00009006217,0.00001428397,0.0002764879,0.9652278,0.001401054,0.02740816],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4136009,"threshold_uncertainty_score":0.8320734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08145489416417322,"score_gpt":0.3160744338069997,"score_spread":0.2346195396428264,"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."}}