{"id":"W6900579996","doi":"10.60510/awfwi02827","title":"IGSN AWFWI02827 (EN22063-T09): Individual Sample (Biology, plant - Picea mariana) 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); Quality (philosophy); Period (music); Statistical analysis","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":[0.001568133,0.002185091,0.002448482,0.01382967,0.005123508,0.003609782,0.00397484,0.00231994,0.180358],"category_scores_gemma":[0.004910566,0.001309126,0.0007685272,0.02642252,0.0008752467,0.001079129,0.003040936,0.001904847,0.1478742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005060133,"about_ca_system_score_gemma":0.01299518,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5391243,"about_ca_topic_score_gemma":0.722473,"domain_scores_codex":[0.9983581,0.00006748903,0.0001228788,0.0005142381,0.0005273894,0.0004099674],"domain_scores_gemma":[0.9967421,0.0002986574,0.0002484057,0.0007540986,0.00144955,0.0005073027],"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":[0.0001768931,0.00002528039,0.0027803,0.0008311627,0.00005287923,0.000143647,0.0005970366,0.000142093,0.00239097,0.001403261,0.9749643,0.01649218],"study_design_scores_gemma":[0.00005093493,0.000009345644,0.01798861,0.0003161315,0.00007851399,0.0001253263,0.0002614212,0.00006260152,0.0007361884,0.0007787658,0.9795559,0.00003618785],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001496709,0.0001791181,0.0009335538,0.00006107352,0.00005971289,0.00006645559,0.9820809,0.001129289,0.01399329],"genre_scores_gemma":[0.002020129,0.0001999767,0.002019238,0.0000985315,0.00001578115,0.0002677294,0.9793346,0.001655831,0.0143882],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4608757,"threshold_uncertainty_score":0.9271799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02479564044546518,"score_gpt":0.2438468963233459,"score_spread":0.2190512558778807,"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."}}