{"id":"W6900526893","doi":"10.60510/awfwi03712","title":"IGSN AWFWI03712 (EN22065-TG29): Individual Sample (Biology, leaf for DNA analyses) of sample EN22065-T29 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":[0.001484787,0.00236102,0.004737935,0.001559086,0.000547774,0.001361674,0.003887529,0.003193316,0.01243063],"category_scores_gemma":[0.005978296,0.003475356,0.00222314,0.002153075,0.001553001,0.0004319282,0.001692474,0.001800843,0.0008691123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00127051,"about_ca_system_score_gemma":0.0016739,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9976832,"about_ca_topic_score_gemma":0.9987926,"domain_scores_codex":[0.9864156,0.0007525643,0.003232345,0.004612502,0.001733163,0.003253786],"domain_scores_gemma":[0.9861749,0.005155184,0.002673431,0.00409299,0.0008395359,0.001063923],"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":[0.0001624667,0.0006959739,0.01636913,0.001141437,0.005635631,0.00007752862,0.0007976203,0.00004478319,0.00006192679,0.00009473955,0.969361,0.005557785],"study_design_scores_gemma":[0.003718621,0.0005401721,0.00209647,0.001298115,0.003621361,0.00007648227,0.001010007,0.00008578355,0.0002699896,0.01234874,0.9714022,0.003531999],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008548729,0.01364768,0.009619722,0.0000749248,0.001977417,0.00413774,0.9598883,0.001743464,0.0003619934],"genre_scores_gemma":[0.01687645,0.0003301094,0.01750378,0.0004861342,0.00286244,0.001734736,0.9520183,0.005599238,0.002588828],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01427266,"threshold_uncertainty_score":0.9999088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04859886434288428,"score_gpt":0.3094331421313959,"score_spread":0.2608342777885116,"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."}}