{"id":"W6956890608","doi":"10.60510/awfwi03689","title":"IGSN AWFWI03689 (EN22065-TG06): Individual Sample (Biology, leaf for DNA analyses) of sample EN22065-T06 from Northern Rocky Mountains, British Columbia, CA","year":2024,"lang":"en","type":"other","venue":"GFZ IGSN Sample Catalogue","topic":"Digital Radiography and Breast Imaging","field":"Medicine","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","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000434572,0.0009764399,0.002406217,0.0008717726,0.0001928902,0.0005812151,0.0009710013,0.001305975,0.002416451],"category_scores_gemma":[0.001534718,0.001274757,0.001499638,0.001101961,0.0007516839,0.0002392468,0.0004164615,0.001009741,0.00003808269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002393897,"about_ca_system_score_gemma":0.0006441409,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9784164,"about_ca_topic_score_gemma":0.9574642,"domain_scores_codex":[0.9944527,0.0001234312,0.001402573,0.001897703,0.0007608485,0.001362757],"domain_scores_gemma":[0.9950671,0.001670602,0.0007803347,0.001538634,0.0003436562,0.0005997436],"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":[0.0001640645,0.0006892292,0.04458692,0.001673411,0.004757523,0.0001197248,0.0004036713,0.000004402891,0.000020951,0.00008482257,0.9036899,0.04380545],"study_design_scores_gemma":[0.003158595,0.0006444994,0.005335317,0.002153708,0.003180874,0.0002318834,0.0007261641,0.00003383416,0.0001402379,0.01023922,0.9726087,0.001546927],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006750688,0.008337696,0.01103018,0.0001885695,0.0009393789,0.001857612,0.9691739,0.0005614606,0.001160524],"genre_scores_gemma":[0.06639049,0.0002572379,0.008748083,0.0006936935,0.001624207,0.0003972845,0.9186504,0.001037159,0.002201445],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0689189,"threshold_uncertainty_score":0.9999905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03356309372137273,"score_gpt":0.3004520044728807,"score_spread":0.266888910751508,"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."}}