{"id":"W6919198341","doi":"10.60510/awfwi02946","title":"IGSN AWFWI02946 (EN22072-T01): Individual Sample (Biology, plant - Abies lasiocarpa) 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); Hydrology (agriculture); Vegetation (pathology); Population","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0008598446,0.001816019,0.002847513,0.0008923108,0.0004397649,0.001875922,0.002613466,0.00288608,0.02240886],"category_scores_gemma":[0.001358649,0.002624445,0.0009783565,0.00107512,0.001774434,0.0003636914,0.001747442,0.002080352,0.003286942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006821447,"about_ca_system_score_gemma":0.0008102149,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9972209,"about_ca_topic_score_gemma":0.995299,"domain_scores_codex":[0.990195,0.0005047507,0.001631664,0.003647406,0.001388341,0.002632829],"domain_scores_gemma":[0.9935657,0.001637176,0.001032462,0.002642218,0.0002077592,0.0009147212],"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":[0.00006553472,0.0002910744,0.01949574,0.0004273707,0.002049895,0.0006135646,0.0009754502,0.000003141105,0.000002251183,0.00009824137,0.9742562,0.001721514],"study_design_scores_gemma":[0.002155233,0.0002617353,0.007544822,0.001743357,0.001268545,0.0003115963,0.0005327717,0.00002748859,0.00002029489,0.008786188,0.9744785,0.002869402],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006924078,0.01136082,0.0004766944,0.00006365695,0.003894973,0.002077171,0.9710313,0.00268649,0.001484789],"genre_scores_gemma":[0.01125499,0.0007455268,0.004788455,0.0005050998,0.003373773,0.0007528357,0.9688601,0.004317935,0.005401319],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01912192,"threshold_uncertainty_score":0.9994585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02474231612007511,"score_gpt":0.2466855710957253,"score_spread":0.2219432549756502,"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."}}