{"id":"W6937948773","doi":"10.60510/awfwi02195","title":"IGSN AWFWI02195 (EN22005-T12): Individual Sample (Biology, plant - Larix laricina) from Mackenzie Delta (Anderson Plain), 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":"Delta; Sample (material); Vegetation (pathology); Hydrology (agriculture); Larch","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":[0.001310098,0.001612862,0.00131608,0.008870252,0.001836867,0.001944181,0.002586269,0.0013468,0.195382],"category_scores_gemma":[0.004291567,0.001022857,0.0006059665,0.0182107,0.0004758509,0.0009006432,0.001868298,0.001034396,0.1839402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002163026,"about_ca_system_score_gemma":0.007113961,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2702988,"about_ca_topic_score_gemma":0.3551724,"domain_scores_codex":[0.9988758,0.00007476597,0.0001236721,0.0003025107,0.000328159,0.0002949942],"domain_scores_gemma":[0.9970496,0.0003429823,0.0003250264,0.0006614433,0.001211395,0.0004095209],"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":[0.00009099815,0.000021378,0.002553788,0.0003999568,0.00002155677,0.00004240626,0.0001949526,0.00008934964,0.0005039888,0.0006474325,0.9873765,0.008057736],"study_design_scores_gemma":[0.00005863051,0.00001034587,0.02158408,0.0002116575,0.00003342935,0.00006770324,0.000205275,0.00006529624,0.0004598888,0.0004546788,0.9768292,0.0000197654],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005027725,0.00003355244,0.0002275848,0.00002242581,0.00002083251,0.0000295014,0.9930601,0.0002903302,0.005812884],"genre_scores_gemma":[0.0007821241,0.00006383145,0.0008426625,0.00004326651,0.000008621003,0.0001685545,0.9899677,0.0004446528,0.007678624],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7297012,"threshold_uncertainty_score":0.653618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03190400533110243,"score_gpt":0.2663142946899363,"score_spread":0.2344102893588339,"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."}}