{"id":"W6956914674","doi":"10.60510/awfwi03777","title":"IGSN AWFWI03777 (EN22071-TG23): Individual Sample (Biology, leaf for DNA analyses) of sample EN22071-T23 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":[],"consensus_categories":[],"category_scores_codex":[0.001350185,0.001941657,0.001557099,0.008490661,0.004319886,0.002417509,0.003644407,0.001797096,0.2116658],"category_scores_gemma":[0.002989048,0.001202854,0.0005632242,0.01561635,0.0007340613,0.0007928961,0.001978023,0.001378431,0.1712148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004821194,"about_ca_system_score_gemma":0.011293,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5596961,"about_ca_topic_score_gemma":0.8038409,"domain_scores_codex":[0.9987914,0.00005165152,0.00007027829,0.0003586852,0.000399574,0.0003284171],"domain_scores_gemma":[0.9978509,0.00016411,0.0001507516,0.0004739416,0.0009471344,0.0004132962],"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":[0.0001846262,0.00003847858,0.003408895,0.00051474,0.00003296377,0.000135654,0.0004957941,0.000164372,0.003600552,0.001513797,0.962201,0.02770921],"study_design_scores_gemma":[0.00004785022,0.00001180192,0.01853838,0.0002287217,0.00004533268,0.0001148032,0.0002001013,0.0000847544,0.001407919,0.000798918,0.9784859,0.00003560311],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002400283,0.0001261315,0.001712106,0.00007799585,0.00007162239,0.0001284732,0.9588735,0.001671013,0.03493895],"genre_scores_gemma":[0.003088501,0.0001424874,0.003413342,0.0001294532,0.00001657722,0.0003077774,0.9625599,0.002091467,0.02825042],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4403039,"threshold_uncertainty_score":0.8857938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0591050106013164,"score_gpt":0.3158225981269777,"score_spread":0.2567175875256613,"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."}}