{"id":"W6900527276","doi":"10.60510/awfwi02837","title":"IGSN AWFWI02837 (EN22063-T19): Individual Sample (Biology, plant - Pinus contorta) 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); Pinus <genus>; Scots pine; Quality (philosophy)","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":[0.001373559,0.002087727,0.002151789,0.01299781,0.004347952,0.003027315,0.003578335,0.001960172,0.1926267],"category_scores_gemma":[0.00454197,0.001228888,0.0006529868,0.02682374,0.0007659551,0.0009496767,0.002530209,0.001629002,0.1380886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004804832,"about_ca_system_score_gemma":0.01376195,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6222551,"about_ca_topic_score_gemma":0.7797527,"domain_scores_codex":[0.9986284,0.00005591602,0.00009997212,0.0004132088,0.0004304755,0.0003719973],"domain_scores_gemma":[0.9968927,0.0002842516,0.000239992,0.0006241902,0.001425007,0.0005338636],"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":[0.0001471565,0.00002138958,0.002472488,0.000646304,0.00004128639,0.0001105476,0.0003713873,0.0001151021,0.001293535,0.0008695491,0.9808816,0.01302973],"study_design_scores_gemma":[0.00007009569,0.00001032751,0.02433215,0.0003516226,0.0000831102,0.0001264289,0.0002530254,0.00007142485,0.0006364801,0.0007166891,0.9733105,0.00003806539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001080054,0.0001256078,0.0005175003,0.00004523221,0.00004079128,0.00005416272,0.9868457,0.000727417,0.01056357],"genre_scores_gemma":[0.001796163,0.0001663112,0.001307263,0.00007880006,0.00001296673,0.0002166707,0.9830425,0.001080573,0.01229887],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8073733,"threshold_uncertainty_score":0.759939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02721367554617614,"score_gpt":0.2515741693065325,"score_spread":0.2243604937603563,"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."}}