{"id":"W6957283265","doi":"10.60510/awfwi03708","title":"IGSN AWFWI03708 (EN22065-TG25): Individual Sample (Biology, leaf for DNA analyses) of sample EN22065-T25 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001244442,0.001903875,0.001492298,0.007975154,0.004105675,0.002119316,0.003394782,0.001511315,0.1892739],"category_scores_gemma":[0.002517618,0.001127159,0.0005460674,0.01510755,0.0006532466,0.000660069,0.001642707,0.001248038,0.141374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004232502,"about_ca_system_score_gemma":0.009526988,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5258635,"about_ca_topic_score_gemma":0.7737787,"domain_scores_codex":[0.9988895,0.00004916239,0.00006481141,0.0003484944,0.0003494442,0.0002985516],"domain_scores_gemma":[0.9980909,0.0001582819,0.0001453063,0.0004737735,0.00075545,0.0003762662],"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":[0.0002237631,0.00004593701,0.003837878,0.0005426609,0.000038613,0.0001481642,0.0005127754,0.000184614,0.004353172,0.001368216,0.9618769,0.02686736],"study_design_scores_gemma":[0.00007128142,0.00001504498,0.0261053,0.0002272899,0.000058346,0.0001308343,0.000208574,0.0001131812,0.001903417,0.0007417038,0.9703866,0.00003839137],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002728232,0.0001029486,0.001490414,0.00006486502,0.00005611368,0.0001254292,0.9655244,0.001717006,0.02819069],"genre_scores_gemma":[0.003313467,0.0001136013,0.003077272,0.0001065109,0.00001540189,0.0003145456,0.968739,0.001832762,0.0224875],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4741365,"threshold_uncertainty_score":0.9538575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04802755339232279,"score_gpt":0.3090782657581118,"score_spread":0.261050712365789,"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."}}