{"id":"W6937766566","doi":"10.60510/awfwi02836","title":"IGSN AWFWI02836 (EN22063-T18): 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":[],"consensus_categories":[],"category_scores_codex":[0.00133271,0.002085356,0.002104784,0.01273694,0.004256771,0.002917726,0.003497539,0.001895209,0.1847803],"category_scores_gemma":[0.004316548,0.001198635,0.0006346754,0.0265236,0.0007454882,0.0009325245,0.002440345,0.001581474,0.1332227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004767829,"about_ca_system_score_gemma":0.01363371,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6341888,"about_ca_topic_score_gemma":0.7875678,"domain_scores_codex":[0.9986687,0.00005367217,0.00009636147,0.000403762,0.0004152524,0.0003623946],"domain_scores_gemma":[0.9969472,0.0002644632,0.0002374575,0.0006138718,0.001420292,0.0005166643],"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":[0.0001522768,0.00002157806,0.002657571,0.0006500458,0.00004136743,0.0001102398,0.000382171,0.0001176104,0.001340291,0.0008445198,0.9801645,0.01351782],"study_design_scores_gemma":[0.00006737783,0.00001046098,0.02596841,0.00033931,0.00008150402,0.0001241877,0.00025698,0.0000708851,0.0006421269,0.00068137,0.9717199,0.00003750631],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001150369,0.000126496,0.0005114076,0.00004401224,0.00003973339,0.0000539792,0.9868505,0.0007090152,0.0105146],"genre_scores_gemma":[0.001896394,0.0001665589,0.00133006,0.00007667772,0.00001286859,0.0002183272,0.9826415,0.001053306,0.01260442],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3658112,"threshold_uncertainty_score":0.7359312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02682577587529491,"score_gpt":0.2508851148432107,"score_spread":0.2240593389679158,"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."}}