{"id":"W6957102982","doi":"10.60510/awfwi03315","title":"IGSN AWFWI03315 (EN22029-TG03): Individual Sample (Biology, leaf for DNA analyses) of sample EN22029-T03 from Peel River Watershed, Northwest Territories, CA","year":2024,"lang":"en","type":"other","venue":"GFZ IGSN Sample Catalogue","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sample (material); DNA; Quality (philosophy)","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","open_science"],"consensus_categories":[],"category_scores_codex":[0.001545547,0.001208389,0.001598896,0.00159097,0.0002640546,0.001985559,0.007963358,0.000803999,0.0008522248],"category_scores_gemma":[0.003776922,0.001119815,0.0006322844,0.001343474,0.000844871,0.004385471,0.00488341,0.0009290919,0.00005997657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002903625,"about_ca_system_score_gemma":0.0006064551,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9660879,"about_ca_topic_score_gemma":0.7762989,"domain_scores_codex":[0.9921303,0.000542334,0.00133783,0.002950168,0.001377125,0.001662283],"domain_scores_gemma":[0.9890374,0.004507322,0.001068583,0.004560272,0.00030966,0.0005167436],"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":[0.00009222706,0.0003586951,0.003052243,0.001049548,0.002978511,0.000074986,0.001385063,0.0000178695,0.00001478459,0.01454906,0.9712168,0.005210237],"study_design_scores_gemma":[0.0009915335,0.0003220017,0.000645499,0.0002342622,0.0005639428,0.000007004782,0.0002659846,0.0002305657,0.0004213067,0.008667666,0.9865136,0.00113665],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001176727,0.001629052,0.2287675,0.0007501867,0.001725848,0.001330362,0.7650394,0.0004286086,0.0002113972],"genre_scores_gemma":[0.002132333,0.0007303135,0.1007252,0.0002911726,0.001413722,0.0004962438,0.892317,0.0004667102,0.001427311],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.189789,"threshold_uncertainty_score":0.9991252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1225974906081959,"score_gpt":0.366532486984518,"score_spread":0.2439349963763221,"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."}}