{"id":"W4298238664","doi":"10.17190/amf/1480320","title":"AmeriFlux CA-MR3 Mattheis Ranch - E3 South","year":2018,"lang":"en","type":"dataset","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Geography","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":[0.0005921114,0.001503326,0.001073823,0.003910702,0.0006856972,0.00185556,0.002218898,0.0008985123,0.07113159],"category_scores_gemma":[0.002115401,0.0005590384,0.0007411061,0.008061046,0.0002881151,0.001064774,0.001105872,0.0009695381,0.06543159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002067365,"about_ca_system_score_gemma":0.002696508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.172915,"about_ca_topic_score_gemma":0.2920159,"domain_scores_codex":[0.9994203,0.00004215264,0.00004780193,0.0001858624,0.0001835563,0.0001203114],"domain_scores_gemma":[0.9985498,0.0001670855,0.0002259991,0.0002513297,0.0006215371,0.0001843166],"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":[0.00006059961,0.00001407626,0.002258215,0.0003664821,0.00002853158,0.00002313074,0.00003309763,0.0001617826,0.00009614279,0.0003747235,0.9947246,0.001858637],"study_design_scores_gemma":[0.000196473,0.00001011339,0.01376081,0.0002241861,0.00002442305,0.00004159213,0.0001076868,0.000260672,0.0001995178,0.0004397169,0.9847109,0.00002404931],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001214332,0.00002013231,0.00001848284,0.00001200742,0.000004622405,0.000003581254,0.9992319,0.0001043815,0.0004834186],"genre_scores_gemma":[0.0003253558,0.0000177346,0.0001081199,0.00001039227,0.00000243627,0.00002195537,0.998958,0.00004370287,0.0005122936],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.172915,"threshold_uncertainty_score":0.343817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008467113631732031,"score_gpt":0.2179557182744221,"score_spread":0.20948860464269,"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."}}