{"id":"W6900388558","doi":"10.60510/awfwi03362","title":"IGSN AWFWI03362 (EN22033-TG08): Individual Sample (Biology, leaf for DNA analyses) of sample EN22033-T08 from Richardson Mountains, Yukon, 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; Analytical Chemistry (journal); Sampling (signal processing)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009968284,0.001627666,0.001352582,0.006154094,0.002578806,0.001602222,0.002757654,0.001525549,0.1178399],"category_scores_gemma":[0.002329631,0.0009329564,0.0006356051,0.01410772,0.0006037597,0.0008121631,0.001820941,0.0009514128,0.1199682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00263799,"about_ca_system_score_gemma":0.006467995,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1957591,"about_ca_topic_score_gemma":0.3841693,"domain_scores_codex":[0.9989358,0.0000483291,0.00009621596,0.0004045033,0.000238874,0.0002763231],"domain_scores_gemma":[0.9981832,0.0001265544,0.000171947,0.0005600562,0.000712379,0.0002458329],"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":[0.0005723243,0.00009948047,0.01663408,0.001575439,0.0001380785,0.0003056046,0.001527456,0.000435061,0.01609619,0.003079721,0.9084369,0.05109962],"study_design_scores_gemma":[0.00006957211,0.00002898828,0.05031846,0.0002133252,0.0001033442,0.0001879814,0.0004074374,0.0001265329,0.00218243,0.0008604266,0.9454573,0.00004406724],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004328958,0.0000828882,0.001712349,0.0000436981,0.00004681969,0.0001127773,0.9755989,0.00126762,0.01680606],"genre_scores_gemma":[0.003999667,0.00007158575,0.002588035,0.00006855842,0.000007884205,0.0002237176,0.9833859,0.001164377,0.008490304],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8821601,"threshold_uncertainty_score":0.3942137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08099427956168927,"score_gpt":0.3524507464773114,"score_spread":0.2714564669156221,"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."}}