{"id":"W6926193650","doi":"10.18739/a28s4jp53","title":"AmeriFlux CA-Oas Saskatchewan - Western Boreal, Mature Aspen. 1997-","year":2018,"lang":"en","type":"dataset","venue":"California Digital Library","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Population; Context (archaeology); Vegetation (pathology); Exclosure","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005591303,0.002693052,0.0012536,0.004466251,0.0006659789,0.001867742,0.001830147,0.001506137,0.02261238],"category_scores_gemma":[0.002589703,0.0007036217,0.001304223,0.01099674,0.0004781482,0.0007230259,0.001049947,0.001088654,0.03294252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002603272,"about_ca_system_score_gemma":0.006935377,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4608216,"about_ca_topic_score_gemma":0.614044,"domain_scores_codex":[0.9995102,0.0000291269,0.0000653491,0.0001486102,0.0001420522,0.0001047104],"domain_scores_gemma":[0.9984843,0.0001971328,0.0002181988,0.0002555242,0.0006418164,0.0002030575],"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":[0.0002297648,0.0000449174,0.01238402,0.0009727336,0.0001768094,0.00007220691,0.0000546961,0.0009520497,0.0003298345,0.0002535476,0.9797728,0.004756655],"study_design_scores_gemma":[0.0005323653,0.00002742417,0.07614004,0.0005208588,0.0001489839,0.00007310657,0.0003269036,0.0007426786,0.0007189997,0.0005297689,0.9201666,0.00007238728],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003355154,0.00004439345,0.00001426859,0.00001154967,0.00000899295,0.000003975726,0.9992712,0.00008245381,0.0002276508],"genre_scores_gemma":[0.0006599094,0.00006425917,0.00008496815,0.0000164467,0.000003251343,0.00002366538,0.9984675,0.0000177733,0.0006621872],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5391784,"threshold_uncertainty_score":0.9162787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00812000075466802,"score_gpt":0.2186367419442741,"score_spread":0.2105167411896061,"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."}}