{"id":"W6900720216","doi":"10.60510/awfwi02578","title":"IGSN AWFWI02578 (EN22037-T12): Individual Sample (Biology, plant - Picea mariana) from Richardson Mountains, Yukon, 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); Yield (engineering); Sampling (signal processing)","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":[0.0008814835,0.001553078,0.001624648,0.008613862,0.002580313,0.001863651,0.002727483,0.001520028,0.1083373],"category_scores_gemma":[0.002652911,0.0008913077,0.0007275521,0.01812295,0.0005930071,0.0008890154,0.002381271,0.0009147679,0.09823939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002320029,"about_ca_system_score_gemma":0.006032035,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1886318,"about_ca_topic_score_gemma":0.3189948,"domain_scores_codex":[0.9989154,0.00004475562,0.0001088187,0.000387565,0.0002466557,0.0002967783],"domain_scores_gemma":[0.9981701,0.0001319818,0.0001788155,0.0005384567,0.0007414392,0.0002391614],"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":[0.0004318452,0.00005831204,0.01516767,0.001830643,0.0001742987,0.0002870498,0.001424643,0.0003156141,0.007441787,0.002623252,0.9377522,0.03249266],"study_design_scores_gemma":[0.00005599481,0.00001766098,0.05194949,0.0001930921,0.0001160876,0.0001656837,0.0004445848,0.00007029065,0.0009096786,0.0006897948,0.9453548,0.00003283992],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00334055,0.0001111216,0.0009048355,0.0000329471,0.00004087948,0.00005765739,0.9857647,0.0008731258,0.008874153],"genre_scores_gemma":[0.00320326,0.0000961281,0.001407984,0.00004668692,0.000007680862,0.0001728071,0.9883492,0.0008479882,0.005868257],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8916627,"threshold_uncertainty_score":0.3750677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03157388385984006,"score_gpt":0.272883184568436,"score_spread":0.2413093007085959,"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."}}