{"id":"W6957081103","doi":"10.60510/gfhha001g","title":"IGSN GFHHA001G (Peel) Specimen: (sediment:bed load) from Peel (Canada)","year":2019,"lang":"en","type":"other","venue":"GFZ IGSN Sample Catalogue","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Process (computing); Raw material; Yield (engineering)","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":[0.0009181857,0.001513557,0.001301401,0.01123359,0.004576961,0.002271268,0.002831426,0.001552941,0.2142058],"category_scores_gemma":[0.003611354,0.0009375401,0.0006344737,0.01878269,0.0009188399,0.001126312,0.002178746,0.001363279,0.1735625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006903809,"about_ca_system_score_gemma":0.01631822,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8066972,"about_ca_topic_score_gemma":0.8780226,"domain_scores_codex":[0.9984812,0.00003666864,0.00007843582,0.0002686977,0.0006829662,0.0004520002],"domain_scores_gemma":[0.9958605,0.0001816706,0.0002100013,0.0005945484,0.002767234,0.0003859654],"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":[0.0001365267,0.00002656619,0.00427683,0.0003460891,0.00002097644,0.0001297141,0.0004129873,0.0001310929,0.001166555,0.001518993,0.9672761,0.02455754],"study_design_scores_gemma":[0.00001958953,0.00000841879,0.0236039,0.0001379707,0.0000209274,0.0001053908,0.0002949819,0.00003923872,0.0008112696,0.0003978855,0.9745358,0.00002461067],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00321955,0.0001724491,0.0009262971,0.0001556419,0.0001863275,0.0001489657,0.9324898,0.001125281,0.06157564],"genre_scores_gemma":[0.007366807,0.0002935567,0.003619221,0.0001960297,0.00004807063,0.0002458552,0.8991045,0.001852118,0.08727381],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2142058,"threshold_uncertainty_score":0.7165897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01746180564041157,"score_gpt":0.2248338398825374,"score_spread":0.2073720342421258,"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."}}