{"id":"W6900357807","doi":"10.60510/awfwi02485","title":"IGSN AWFWI02485 (EN22030-T02): 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001253505,0.001589868,0.001478187,0.009221813,0.001883639,0.002044977,0.0028544,0.00147079,0.2054839],"category_scores_gemma":[0.003914407,0.000993141,0.0006788006,0.01883801,0.0005044227,0.001049402,0.002162485,0.001155371,0.1928334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001953995,"about_ca_system_score_gemma":0.005761563,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.184333,"about_ca_topic_score_gemma":0.2479525,"domain_scores_codex":[0.9987507,0.00007790243,0.0001213732,0.0003642677,0.0003884349,0.0002973069],"domain_scores_gemma":[0.9976408,0.000289094,0.0002451628,0.0006058884,0.0009096985,0.0003093995],"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":[0.0001031007,0.00002464788,0.002276486,0.0004711838,0.00002651099,0.00005320394,0.0002719809,0.0001156448,0.000962718,0.0009801183,0.9828897,0.01182464],"study_design_scores_gemma":[0.00004382565,0.00000900743,0.01600062,0.000164515,0.0000315408,0.00006340841,0.0001745831,0.00005966755,0.0005268559,0.0005764088,0.9823306,0.00001898977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006726974,0.00004718138,0.0004502114,0.00002829797,0.00002890079,0.00003716882,0.9895159,0.0004973467,0.008722301],"genre_scores_gemma":[0.0008727555,0.00006769591,0.001251626,0.00004318958,0.00001007342,0.0001832752,0.9886448,0.000726207,0.008200295],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.815667,"threshold_uncertainty_score":0.687412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02867392119755488,"score_gpt":0.251347673876662,"score_spread":0.2226737526791071,"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."}}