{"id":"W6900670516","doi":"10.60510/awfwi03671","title":"IGSN AWFWI03671 (EN22063-TG18): Individual Sample (Biology, leaf for DNA analyses) of sample EN22063-T18 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); DNA; Sample size determination","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":[0.00160493,0.002251365,0.004869891,0.001647792,0.0004809534,0.001244666,0.003897802,0.003351879,0.01808898],"category_scores_gemma":[0.007388298,0.00337226,0.002414804,0.002234698,0.002596321,0.0004399624,0.00188359,0.001800825,0.0009624652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009044807,"about_ca_system_score_gemma":0.001398894,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9970731,"about_ca_topic_score_gemma":0.9944596,"domain_scores_codex":[0.986639,0.0008180637,0.003061619,0.004662871,0.001671948,0.003146559],"domain_scores_gemma":[0.9852445,0.006341343,0.002520459,0.004062382,0.0007321266,0.001099223],"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":[0.0001528696,0.0006238049,0.004441521,0.001078617,0.004585264,0.00008110491,0.0007925066,0.00001435009,0.00006309788,0.0001635818,0.983321,0.004682257],"study_design_scores_gemma":[0.003687083,0.0005732783,0.001882423,0.00151196,0.003916815,0.00006591193,0.0004566212,0.00005417793,0.0003894501,0.02006521,0.9641217,0.003275373],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003087939,0.0113263,0.01046423,0.00006956321,0.003029141,0.003977966,0.9657198,0.001771888,0.0005531592],"genre_scores_gemma":[0.007326911,0.0005562592,0.04121596,0.0004103084,0.002895988,0.001435597,0.937453,0.004808023,0.003897971],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03075173,"threshold_uncertainty_score":0.9998154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06250297471934996,"score_gpt":0.319228309522357,"score_spread":0.2567253348030071,"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."}}