{"id":"W6919105205","doi":"10.60510/awfwi03758","title":"IGSN AWFWI03758 (EN22071-TG03): Individual Sample (Biology, leaf for DNA analyses) of sample EN22071-T03 from Fort Nelson River lowlands, 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001452474,0.002163615,0.004588447,0.00151472,0.0004648452,0.001143288,0.003279782,0.003161172,0.01459052],"category_scores_gemma":[0.00473987,0.003115048,0.002229519,0.001979855,0.002021895,0.0004642938,0.001518266,0.001618272,0.0004935339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00079738,"about_ca_system_score_gemma":0.001264939,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955743,"about_ca_topic_score_gemma":0.9876274,"domain_scores_codex":[0.98754,0.0005911494,0.002892136,0.004353589,0.001571118,0.003052024],"domain_scores_gemma":[0.9876437,0.004749553,0.00230893,0.003640126,0.0006417466,0.00101597],"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":[0.0001780805,0.0005803755,0.01513577,0.001048167,0.004725298,0.00007879538,0.00073309,0.00001708762,0.00003112437,0.0001156577,0.9736322,0.003724339],"study_design_scores_gemma":[0.004487038,0.0006063964,0.003496675,0.001447862,0.004021641,0.00007861275,0.0004643713,0.0001397947,0.0002819895,0.01678415,0.9649237,0.003267743],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007400597,0.008087124,0.01199095,0.00005446794,0.002581398,0.004037603,0.9639167,0.001474841,0.0004563074],"genre_scores_gemma":[0.0189079,0.0004019742,0.02471875,0.0003700674,0.002726748,0.001390456,0.9439259,0.004450696,0.003107552],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01999085,"threshold_uncertainty_score":0.9998936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05815204222693213,"score_gpt":0.3149849771674105,"score_spread":0.2568329349404783,"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."}}