{"id":"W6957125597","doi":"10.60510/awfwi02898","title":"IGSN AWFWI02898 (EN22069-T12): Individual Sample (Biology, plant - Larix laricina) 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); Productivity; Statistical analysis; Plant production","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":[0.001092416,0.001750754,0.00152806,0.01179841,0.003572632,0.002561601,0.002863799,0.001422888,0.1942075],"category_scores_gemma":[0.004589468,0.0009548917,0.0005053313,0.0245847,0.000586374,0.0008276571,0.001985174,0.001225298,0.1614779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005002714,"about_ca_system_score_gemma":0.01384062,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7332379,"about_ca_topic_score_gemma":0.8352084,"domain_scores_codex":[0.9987784,0.00005129281,0.00009287077,0.0003018336,0.0003898883,0.0003856361],"domain_scores_gemma":[0.9960996,0.0002620701,0.0002748169,0.0006511739,0.00214907,0.0005632988],"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":[0.00009615815,0.00001620008,0.002444017,0.0003539654,0.00001852344,0.00005671254,0.0002559629,0.00007496079,0.0005507233,0.0006227897,0.98522,0.01029006],"study_design_scores_gemma":[0.000042451,0.000008321697,0.02786025,0.0002361805,0.00003825667,0.00007787952,0.0003051681,0.0000615349,0.0004647663,0.0004728312,0.9704057,0.00002674401],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009921597,0.00007310187,0.0002845596,0.0000386535,0.00003301778,0.00004740399,0.9864477,0.0004431901,0.01164024],"genre_scores_gemma":[0.001862915,0.0001201413,0.001013539,0.00006508326,0.00001186406,0.0001973467,0.9767418,0.0006841205,0.01930318],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2667621,"threshold_uncertainty_score":0.649689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03747125182988145,"score_gpt":0.2508806690233556,"score_spread":0.2134094171934741,"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."}}