{"id":"W6900606767","doi":"10.60510/awfwi02947","title":"IGSN AWFWI02947 (EN22072-T02): Individual Sample (Biology, plant - Abies lasiocarpa) 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); Hydrology (agriculture); Vegetation (pathology); Population","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","insufficient_payload"],"category_scores_codex":[0.0008406661,0.001826582,0.002863171,0.0008959536,0.000445965,0.001886763,0.002622499,0.002901397,0.02104109],"category_scores_gemma":[0.001324273,0.002639003,0.0009853096,0.001078481,0.001748777,0.0003663859,0.001730537,0.002090849,0.003204462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006895816,"about_ca_system_score_gemma":0.0008007953,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9973347,"about_ca_topic_score_gemma":0.9952417,"domain_scores_codex":[0.9901509,0.000494443,0.001641287,0.003662362,0.0014049,0.002646121],"domain_scores_gemma":[0.9935616,0.001597508,0.001057156,0.002654574,0.00020884,0.0009203788],"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":[0.00006389312,0.0002926859,0.01983272,0.0004257893,0.0020577,0.000604375,0.0009754694,0.000002841928,0.000002541524,0.00008087245,0.973524,0.002137122],"study_design_scores_gemma":[0.002158569,0.000261943,0.007076038,0.001732338,0.001275307,0.0003124271,0.0005124668,0.00003488202,0.00001788033,0.007143818,0.9765913,0.002882971],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007241595,0.0103084,0.000380092,0.00006578108,0.003895765,0.002085327,0.971984,0.002715076,0.001323926],"genre_scores_gemma":[0.01041498,0.000780688,0.004854667,0.0005049573,0.0033804,0.0007565474,0.9695945,0.004319451,0.005393848],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01783663,"threshold_uncertainty_score":0.9994479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02479025100842836,"score_gpt":0.2466844647064031,"score_spread":0.2218942136979747,"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."}}