{"id":"W6938312054","doi":"10.60510/awfwi02929","title":"IGSN AWFWI02929 (EN22071-T10): 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":[0.00083848,0.001815661,0.002848265,0.0008896344,0.0004405683,0.001881242,0.002587062,0.00288576,0.02224582],"category_scores_gemma":[0.001367889,0.002624435,0.0009771144,0.001062447,0.001732636,0.0003641744,0.001747262,0.002079328,0.003226655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006850701,"about_ca_system_score_gemma":0.000812347,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9973507,"about_ca_topic_score_gemma":0.9954576,"domain_scores_codex":[0.9901926,0.0004917115,0.001633621,0.003652997,0.001397244,0.002631806],"domain_scores_gemma":[0.9935173,0.001660424,0.001050031,0.002651297,0.0002071922,0.000913796],"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":[0.00006231934,0.0002996853,0.01921939,0.0004263665,0.002048824,0.0006233365,0.0009604644,0.000003234581,0.000002192964,0.00008361305,0.9743996,0.001871029],"study_design_scores_gemma":[0.002195835,0.0002616905,0.007697056,0.001766465,0.00126438,0.0003162256,0.0005312785,0.00002872536,0.00002049043,0.007853926,0.9751955,0.002868467],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007073184,0.01138216,0.0004404745,0.00006689851,0.003845013,0.002085024,0.971001,0.00268297,0.001423294],"genre_scores_gemma":[0.01047195,0.0008098886,0.005073266,0.0005133485,0.003315873,0.0007747848,0.9694976,0.004315268,0.005228015],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01901916,"threshold_uncertainty_score":0.9994588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02508842408850595,"score_gpt":0.2466782643527904,"score_spread":0.2215898402642844,"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."}}