{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00112403,0.001715102,0.001595394,0.01186803,0.00361655,0.002506321,0.002967673,0.001312511,0.1562702],"category_scores_gemma":[0.003972739,0.001023076,0.0005412396,0.02549523,0.0005816511,0.0007705464,0.001871275,0.001291484,0.1161294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005203335,"about_ca_system_score_gemma":0.0152048,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7892178,"about_ca_topic_score_gemma":0.8809398,"domain_scores_codex":[0.9987736,0.00005184772,0.00009560111,0.0002943093,0.0003960708,0.000388435],"domain_scores_gemma":[0.9964862,0.0002291121,0.0002549053,0.0006045697,0.001933192,0.0004919942],"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":[0.0001197446,0.00002237496,0.003621649,0.0004486067,0.00002995037,0.00006623231,0.000355567,0.0001078734,0.0007701669,0.0006542648,0.9811251,0.01267845],"study_design_scores_gemma":[0.00005424235,0.000009977631,0.04116565,0.0002567233,0.00005449989,0.0000762811,0.0003577144,0.00008008178,0.0005196458,0.0004754452,0.9569174,0.00003223966],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001179766,0.00007913396,0.0002946653,0.00003124829,0.00002743103,0.00004896731,0.9889219,0.0003773072,0.009039562],"genre_scores_gemma":[0.001908788,0.0001213821,0.001042446,0.00005437389,0.000009659084,0.0002067067,0.9806877,0.0005498932,0.01541898],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2107822,"threshold_uncertainty_score":0.5227758,"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."}}