{"id":"W6938166351","doi":"10.60510/awfwi02847","title":"IGSN AWFWI02847 (EN22064-T08): Individual Sample (Biology, plant - Picea glauca) from Liard River, 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); Quality (philosophy); Period (music); Statistical analysis","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":[0.001438638,0.002112894,0.002321364,0.01306004,0.004454332,0.003104684,0.00363131,0.001994138,0.174906],"category_scores_gemma":[0.004406673,0.001272633,0.0007329565,0.02731716,0.0007627495,0.0009926254,0.002576735,0.001721489,0.1396484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004730769,"about_ca_system_score_gemma":0.01284737,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5894273,"about_ca_topic_score_gemma":0.7468557,"domain_scores_codex":[0.9985177,0.00006137342,0.0001128089,0.0004537019,0.0004667479,0.0003876642],"domain_scores_gemma":[0.9966454,0.0002815042,0.0002567441,0.000761124,0.001551512,0.0005037243],"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":[0.0001645081,0.00002326078,0.002805913,0.0007204898,0.00004952131,0.00009834596,0.0004394947,0.0001348602,0.001845369,0.0009612447,0.9786742,0.01408274],"study_design_scores_gemma":[0.00006603973,0.00001116016,0.02475927,0.0002994601,0.00008454904,0.0001044942,0.0002478083,0.00007683168,0.0007436059,0.0007073019,0.9728613,0.00003803934],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001177397,0.000119398,0.0006011874,0.00003942681,0.00003959528,0.00004929306,0.9875783,0.0008495062,0.009545737],"genre_scores_gemma":[0.00160613,0.0001420794,0.001478186,0.00006899973,0.00001202114,0.0001987967,0.9848023,0.001153933,0.01053749],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.825094,"threshold_uncertainty_score":0.8259813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02542828527483131,"score_gpt":0.2493166837877961,"score_spread":0.2238883985129648,"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."}}