{"id":"W6944216819","doi":"10.18140/flx/1440112","title":"FLUXNET2015 CA-TPD Ontario - Turkey Point Mature Deciduous","year":2016,"lang":"en","type":"dataset","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"","field":"","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Point (geometry); Deciduous; Flux (metallurgy); Population","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":[0.0005452738,0.002669789,0.001648321,0.00350489,0.000954252,0.001743781,0.003352039,0.002000276,0.02419953],"category_scores_gemma":[0.002208075,0.0007324748,0.001239245,0.006753048,0.0005872541,0.001498297,0.001221345,0.001350823,0.03336146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003748699,"about_ca_system_score_gemma":0.004133828,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3275639,"about_ca_topic_score_gemma":0.4765405,"domain_scores_codex":[0.99932,0.00006087365,0.00004577917,0.0002191965,0.0002116097,0.0001425539],"domain_scores_gemma":[0.9989328,0.0001080308,0.0001094799,0.0002212299,0.0004818557,0.0001466669],"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":[0.00007590184,0.00001629509,0.0013593,0.0004937489,0.0000481162,0.00003543869,0.00003257102,0.0007999614,0.0001943508,0.0006392643,0.9945808,0.001724161],"study_design_scores_gemma":[0.0002028139,0.00001065405,0.009990714,0.0002711506,0.00005133855,0.00008170234,0.0001076991,0.001577105,0.0005318138,0.001327073,0.9857967,0.00005123267],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003028402,0.00007362084,0.00006416041,0.00003794475,0.00002364385,0.00000545379,0.9983078,0.0003777635,0.0008066894],"genre_scores_gemma":[0.000549897,0.00004229808,0.0001332277,0.0000121194,0.00000446195,0.00001697965,0.9987597,0.00006193366,0.0004192736],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6724361,"threshold_uncertainty_score":0.6513146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01101880520919144,"score_gpt":0.2304014616231483,"score_spread":0.2193826564139569,"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."}}