{"id":"W6900392039","doi":"10.60510/awfwi03714","title":"IGSN AWFWI03714 (EN22066-TG02): Individual Sample (Biology, leaf for DNA analyses) of sample EN22066-T02 from Northern Rocky Mountains, 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); DNA","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","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001475423,0.00235802,0.004741245,0.001558981,0.0005550334,0.001396254,0.003893698,0.00318342,0.01269049],"category_scores_gemma":[0.006002997,0.003473675,0.002215206,0.002185741,0.001604683,0.0004212328,0.00167929,0.001795201,0.0008960636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001245226,"about_ca_system_score_gemma":0.001644237,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.997667,"about_ca_topic_score_gemma":0.9988189,"domain_scores_codex":[0.9864365,0.0007586253,0.003221622,0.004631573,0.001739508,0.003212133],"domain_scores_gemma":[0.9861158,0.005215235,0.002665917,0.004106859,0.0008456116,0.001050546],"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":[0.0001563274,0.0006879302,0.01566911,0.001123145,0.005514516,0.00007676594,0.000780073,0.00004486959,0.00006401382,0.0001103843,0.972245,0.003527868],"study_design_scores_gemma":[0.003652206,0.0005565563,0.002112257,0.001316874,0.003632344,0.00007582614,0.0009826887,0.00009212606,0.0002535038,0.01384323,0.9699146,0.00356785],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009871973,0.01166951,0.009205679,0.00007305854,0.001972447,0.004106956,0.9610216,0.001722532,0.000356227],"genre_scores_gemma":[0.0205858,0.0003374445,0.01651056,0.0004270815,0.002841815,0.001722914,0.9490442,0.005519436,0.003010704],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01373285,"threshold_uncertainty_score":0.9998819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04877640160242286,"score_gpt":0.3090144961415598,"score_spread":0.260238094539137,"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."}}