{"id":"W6938081695","doi":"10.60510/awfwi02838","title":"IGSN AWFWI02838 (EN22063-T20): Individual Sample (Biology, plant - Pinus contorta) from Liard River, 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); Pinus <genus>; Scots pine; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001376095,0.002093196,0.002113153,0.01294879,0.004202918,0.002969176,0.003528689,0.001912218,0.1957597],"category_scores_gemma":[0.004523227,0.001201766,0.0006497087,0.02646155,0.0007392692,0.0009588621,0.002521737,0.001575332,0.1410231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004772567,"about_ca_system_score_gemma":0.01349999,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6182927,"about_ca_topic_score_gemma":0.7722289,"domain_scores_codex":[0.9986295,0.00005619851,0.00009841657,0.0004111741,0.000431034,0.0003737444],"domain_scores_gemma":[0.9968438,0.0002805412,0.0002400239,0.0006512436,0.001447313,0.0005371143],"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":[0.0001441373,0.00002053054,0.002363446,0.0006143225,0.0000384678,0.0001016544,0.0003531502,0.0001135766,0.00125572,0.0008366003,0.981687,0.01247126],"study_design_scores_gemma":[0.00006633464,0.00001008228,0.02317313,0.000318825,0.00007674732,0.0001158121,0.0002425062,0.00007117102,0.0006290286,0.0006836029,0.9745765,0.00003630975],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001044247,0.0001171698,0.0005000546,0.00004270321,0.00003887423,0.00005236015,0.9871072,0.0007412714,0.01035602],"genre_scores_gemma":[0.001724877,0.0001540661,0.001269399,0.00007377207,0.00001250961,0.0002104639,0.9831368,0.001089784,0.01232843],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8042403,"threshold_uncertainty_score":0.7679104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02662426560306184,"score_gpt":0.2508703223797574,"score_spread":0.2242460567766956,"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."}}