{"id":"W6956797995","doi":"10.60510/awfwi02478","title":"IGSN AWFWI02478 (EN22029-T01): Individual Sample (Biology, plant - Picea mariana) from Peel River Watershed, Northwest Territories, 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); Hydrology (agriculture); 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":[],"consensus_categories":[],"category_scores_codex":[0.001353908,0.001609514,0.001575998,0.009128199,0.002096388,0.002132394,0.003031338,0.001623253,0.1942918],"category_scores_gemma":[0.004196268,0.00104862,0.0006785875,0.01889549,0.0005523891,0.001036781,0.002245654,0.001250258,0.1828803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001969887,"about_ca_system_score_gemma":0.005842697,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1703465,"about_ca_topic_score_gemma":0.2456417,"domain_scores_codex":[0.9986922,0.0000832576,0.0001263677,0.0003977756,0.0003941283,0.0003062217],"domain_scores_gemma":[0.9975088,0.0003293343,0.0002642546,0.0006355573,0.0009174501,0.000344747],"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":[0.0001233975,0.00002848922,0.002565142,0.0005267595,0.00003169912,0.0000678842,0.000318721,0.000124428,0.001204836,0.001092303,0.9816031,0.01231321],"study_design_scores_gemma":[0.00005318315,0.0000106268,0.01751893,0.0001927718,0.00003860664,0.00007587139,0.0001966933,0.00006108443,0.0005452553,0.0006331138,0.9806529,0.00002095846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007934984,0.0000521275,0.0005103714,0.00003312234,0.00003342772,0.00004071146,0.9891686,0.0004877783,0.008880355],"genre_scores_gemma":[0.0009411148,0.00007238937,0.001304926,0.0000498604,0.00001080828,0.0002003926,0.9890625,0.0007211468,0.007636779],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8296536,"threshold_uncertainty_score":0.6499709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02770765586312591,"score_gpt":0.2504297841634026,"score_spread":0.2227221283002767,"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."}}