{"id":"W6900526189","doi":"10.60510/awfwi02565","title":"IGSN AWFWI02565 (EN22036-T08): 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":[0.0008683247,0.001559637,0.001590444,0.008681114,0.002466868,0.001907281,0.002687211,0.001494906,0.1155569],"category_scores_gemma":[0.002629147,0.0009006492,0.0007404932,0.01835126,0.0005831148,0.0009138171,0.002374494,0.0008966979,0.1033048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002365644,"about_ca_system_score_gemma":0.006207149,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2013457,"about_ca_topic_score_gemma":0.3269314,"domain_scores_codex":[0.9989415,0.00004407079,0.0001084667,0.0003725997,0.0002400208,0.000293327],"domain_scores_gemma":[0.9982127,0.0001282567,0.0001709825,0.0005255169,0.0007347687,0.000227799],"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":[0.00037749,0.00005074088,0.0130579,0.001751333,0.0001582082,0.0002400747,0.001241627,0.0003032986,0.005878366,0.002442256,0.9456152,0.02888349],"study_design_scores_gemma":[0.00005312368,0.00001559113,0.04667355,0.0001885797,0.0001073473,0.0001418868,0.0004058522,0.00006796748,0.00081943,0.0006643318,0.9508312,0.00003112983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002674961,0.0001037268,0.0007585349,0.00002958914,0.0000385351,0.00004984112,0.9872903,0.0008071945,0.008247285],"genre_scores_gemma":[0.002756823,0.00009206808,0.001247631,0.00004212283,0.000007077585,0.0001515953,0.9894078,0.0007652059,0.005529654],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.884443,"threshold_uncertainty_score":0.4003474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03156702482686612,"score_gpt":0.2729380938521538,"score_spread":0.2413710690252877,"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."}}