{"id":"W6956464612","doi":"10.60510/awfwi03310","title":"IGSN AWFWI03310 (EN22028-TG01): Individual Sample (Biology, leaf for DNA analyses) of sample EN22028-T01 from Peel River Watershed, Northwest Territories, CA","year":2024,"lang":"en","type":"other","venue":"GFZ IGSN Sample Catalogue","topic":"Image Processing and 3D Reconstruction","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"],"consensus_categories":[],"category_scores_codex":[0.000477541,0.0009912903,0.00136962,0.0009449492,0.0002848677,0.0004917335,0.002268098,0.0009439174,0.0004333149],"category_scores_gemma":[0.0006981983,0.0009112587,0.0005975803,0.0008030152,0.0008346802,0.0004703792,0.000842061,0.0006609794,0.0000310111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001800863,"about_ca_system_score_gemma":0.0007540955,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8868679,"about_ca_topic_score_gemma":0.4899656,"domain_scores_codex":[0.9951639,0.0001964973,0.001083645,0.001956506,0.0005572977,0.001042136],"domain_scores_gemma":[0.9957406,0.001154691,0.0008019925,0.00171383,0.0002882236,0.0003006499],"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":[0.0001140073,0.0004378405,0.005867448,0.002048064,0.002795689,0.00004415696,0.007430189,0.00003403016,0.00008183077,0.002524708,0.8885464,0.09007563],"study_design_scores_gemma":[0.00121145,0.0002479033,0.0003080952,0.0005119927,0.0006583614,0.00005296003,0.0003569277,0.0005554695,0.003279015,0.02183736,0.9694943,0.0014861],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003990106,0.002051768,0.2749858,0.0002056028,0.004199747,0.0005244009,0.7170574,0.0004874172,0.00008881853],"genre_scores_gemma":[0.006322293,0.000106308,0.1785443,0.0001766359,0.002082216,0.0002031663,0.8115846,0.0003749491,0.0006055132],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3969024,"threshold_uncertainty_score":0.9993338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04125852703712547,"score_gpt":0.2939535159352692,"score_spread":0.2526949888981437,"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."}}