{"id":"W6919159299","doi":"10.60510/awfwi02574","title":"IGSN AWFWI02574 (EN22037-T08): Individual Sample (Biology, plant - Picea glauca) from Richardson Mountains, Yukon, 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); Quality (philosophy); Yield (engineering); 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007940075,0.001581226,0.001528064,0.008172107,0.002089344,0.001679785,0.002496155,0.001329366,0.1071338],"category_scores_gemma":[0.002425025,0.0008687584,0.0007149943,0.019044,0.0005119433,0.0008196915,0.002010287,0.0008147202,0.09207491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00212886,"about_ca_system_score_gemma":0.006103616,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2293698,"about_ca_topic_score_gemma":0.3334769,"domain_scores_codex":[0.9990538,0.00003959816,0.0000998843,0.0003308232,0.000206133,0.0002697074],"domain_scores_gemma":[0.9982104,0.0001267347,0.000178802,0.0005047171,0.0007528483,0.0002263554],"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":[0.0003478926,0.00004736447,0.01351311,0.001505083,0.0001480506,0.0001859028,0.0008834585,0.0002849761,0.004306545,0.001725428,0.9530841,0.02396812],"study_design_scores_gemma":[0.00007309872,0.00001991498,0.06813635,0.0002027022,0.0001283328,0.0001452061,0.0003955328,0.00009497887,0.0008391779,0.0006527806,0.9292784,0.00003347195],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002163079,0.00007454899,0.0004863247,0.00002084961,0.00002727262,0.00003700137,0.9908715,0.0005973889,0.005722126],"genre_scores_gemma":[0.002309533,0.00007181962,0.0008459954,0.00003050811,0.000005525926,0.0001098496,0.9920802,0.0005159362,0.004030673],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8928663,"threshold_uncertainty_score":0.4560695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.032226379830725,"score_gpt":0.2786219036890478,"score_spread":0.2463955238583228,"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."}}