{"id":"W6975910057","doi":"10.60510/awfwi03730","title":"IGSN AWFWI03730 (EN22069-TG09): Individual Sample (Biology, leaf for DNA analyses) of sample EN22069-T09 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":[0.001227692,0.001674626,0.001275099,0.008590435,0.003703306,0.001971687,0.003319511,0.001363702,0.2106968],"category_scores_gemma":[0.003156651,0.001005175,0.0004794597,0.01628806,0.0006325494,0.0007082475,0.001775569,0.001172955,0.1836321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004913671,"about_ca_system_score_gemma":0.01122378,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6099368,"about_ca_topic_score_gemma":0.8064756,"domain_scores_codex":[0.9987906,0.00005441693,0.00006764654,0.0003360354,0.0004143066,0.0003370458],"domain_scores_gemma":[0.9971144,0.0001762019,0.0001850298,0.0006124088,0.001436946,0.0004748934],"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":[0.0001680786,0.00003756193,0.003602718,0.0003854464,0.00002196299,0.00008471795,0.0003941581,0.000145156,0.002549934,0.001214704,0.9650979,0.02629756],"study_design_scores_gemma":[0.00004329087,0.00001240683,0.02443608,0.0001772212,0.00003180491,0.00008114414,0.0002221507,0.00009035498,0.001364366,0.0006725395,0.9728388,0.00002976246],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002157235,0.00007358365,0.001121845,0.00005511507,0.00005507709,0.0001190334,0.9628114,0.001235754,0.03237095],"genre_scores_gemma":[0.002740128,0.00009239361,0.002820392,0.00009340331,0.00001436113,0.0002818331,0.9640421,0.001413919,0.02850138],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3900632,"threshold_uncertainty_score":0.7847207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08360941822627783,"score_gpt":0.3171551325143306,"score_spread":0.2335457142880528,"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."}}