{"id":"W6900741472","doi":"10.60510/awfwi02506","title":"IGSN AWFWI02506 (EN22032-T11): Individual Sample (Biology, plant - Alnus crispa) from Richardson Mountains, Northwest Territories, 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); Vegetation (pathology)","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":[0.001192588,0.001566059,0.001704842,0.008916388,0.002405535,0.001942047,0.002933692,0.001448498,0.1687347],"category_scores_gemma":[0.003036339,0.001026586,0.0006467437,0.02004974,0.0005303232,0.0008758336,0.001939332,0.001211642,0.1406122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001834409,"about_ca_system_score_gemma":0.005608746,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2217665,"about_ca_topic_score_gemma":0.3362787,"domain_scores_codex":[0.9989999,0.00005651334,0.00009052485,0.0003293715,0.0002766501,0.0002471348],"domain_scores_gemma":[0.997922,0.0002305455,0.0002354116,0.00050664,0.0007353243,0.0003701673],"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":[0.0001432454,0.00003043322,0.003675027,0.0005878368,0.00004528327,0.00007584742,0.0003605261,0.0001409367,0.001223787,0.0009302229,0.9817363,0.01105042],"study_design_scores_gemma":[0.00007736689,0.00001242005,0.03008444,0.0001968077,0.00005546242,0.00009688401,0.0002300992,0.00006774284,0.0004832513,0.0005732483,0.9680996,0.00002277208],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009975464,0.00005677349,0.0003834991,0.00002256679,0.00002757286,0.00003038269,0.9916244,0.0004152629,0.006442083],"genre_scores_gemma":[0.001128676,0.00006885187,0.00096785,0.00003768833,0.00001033287,0.000146279,0.991798,0.0005157152,0.005326575],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8312653,"threshold_uncertainty_score":0.5644739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02782580050412297,"score_gpt":0.2734007944818051,"score_spread":0.2455749939776821,"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."}}