{"id":"W6900586762","doi":"10.60510/awfwi02137","title":"IGSN AWFWI02137 (EN22001-T03): Individual Sample (Biology, plant - Picea glauca) from Marsh Lake, 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); Marsh; Quality (philosophy); Productivity","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.001167306,0.00283993,0.002913679,0.002068538,0.0003062863,0.0006395914,0.003342181,0.003242628,0.03251141],"category_scores_gemma":[0.001793044,0.002858799,0.0009329342,0.001539714,0.001239723,0.0003038847,0.00194468,0.002655501,0.01204235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006369809,"about_ca_system_score_gemma":0.001018094,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9123461,"about_ca_topic_score_gemma":0.9655278,"domain_scores_codex":[0.9889257,0.0007553779,0.001866524,0.003965843,0.001484569,0.003002018],"domain_scores_gemma":[0.9912377,0.002264432,0.001279898,0.003901401,0.0002047749,0.00111179],"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":[0.0001401373,0.0003391648,0.001646162,0.0003915423,0.00230773,0.0003619024,0.000968034,0.00000388856,0.00001051875,0.001142062,0.9916656,0.001023227],"study_design_scores_gemma":[0.001836253,0.000208062,0.0009415798,0.0009716006,0.001345492,0.0001441511,0.0002973225,0.00002069396,0.00006863026,0.007607127,0.9835516,0.003007534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005846377,0.009690539,0.0009569294,0.0002479113,0.004886231,0.001931705,0.9755861,0.003200156,0.002915793],"genre_scores_gemma":[0.001016156,0.0003263893,0.008651176,0.0009604648,0.004690607,0.0006627457,0.9728711,0.005438751,0.005382572],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05318176,"threshold_uncertainty_score":0.9996454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03640128869385076,"score_gpt":0.2713695381480729,"score_spread":0.2349682494542222,"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."}}