{"id":"W6900513564","doi":"10.60510/awfwi02792","title":"IGSN AWFWI02792 (EN22061-T04): Individual Sample (Biology, plant - Pinus contorta) from Morley lake (Cassiar Mountains), 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>; Hydrology (agriculture); Vegetation (pathology); Period (music)","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":[0.001074045,0.00202179,0.001683835,0.01174385,0.003394674,0.002536887,0.002924191,0.001589676,0.1965041],"category_scores_gemma":[0.003820489,0.001109423,0.0005796142,0.02529725,0.000601079,0.000809896,0.002039005,0.001204298,0.1325167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004033068,"about_ca_system_score_gemma":0.01155116,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.635608,"about_ca_topic_score_gemma":0.7893906,"domain_scores_codex":[0.9989576,0.00004214269,0.00008112749,0.000286687,0.0003063659,0.000326016],"domain_scores_gemma":[0.9974388,0.0002293058,0.0002228584,0.0004662223,0.001176253,0.0004666595],"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":[0.000102936,0.00001684046,0.002480043,0.0004636544,0.00002891522,0.00006495219,0.0002279472,0.00008898994,0.0005560675,0.0005087592,0.9863431,0.009117625],"study_design_scores_gemma":[0.00007842093,0.00000985656,0.03119158,0.0003425068,0.00006725261,0.00009523911,0.0002338325,0.00007498951,0.0004638085,0.0005463635,0.9668635,0.00003264808],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007639932,0.00007501739,0.0002276541,0.00002992481,0.00002742802,0.00003482599,0.9910489,0.0004043812,0.007387747],"genre_scores_gemma":[0.001423341,0.0001089614,0.0008050434,0.0000556987,0.00001012239,0.000157406,0.9872857,0.000582168,0.009571568],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8034959,"threshold_uncertainty_score":0.7330759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02586949938681412,"score_gpt":0.2543075362736556,"score_spread":0.2284380368868415,"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."}}