{"id":"W4387689295","doi":"","title":"Seasonal variation in carbon isotope discrimination among ecosystems in the Fluxnet-Canada network","year":2004,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia; University of Lethbridge","funders":"","keywords":"FluxNet; Variation (astronomy); Ecosystem; Environmental science; Isotopes of carbon; Atmospheric sciences; Climatology; Geology; Ecology; Environmental chemistry; Chemistry; Total organic carbon; Astrophysics; Biology","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":[0.001112475,0.0003123108,0.0002951546,0.002436114,0.001338116,0.001599003,0.0008011078,0.0003974912,0.001778131],"category_scores_gemma":[0.004428256,0.0002115065,0.0002836869,0.004891801,0.0006612782,0.0006121402,0.0008122633,0.0002550307,0.0002868141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01506057,"about_ca_system_score_gemma":0.008324977,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9810771,"about_ca_topic_score_gemma":0.9911841,"domain_scores_codex":[0.9994503,0.00006075746,0.00002151351,0.0001271191,0.0001568356,0.0001834961],"domain_scores_gemma":[0.9957568,0.0005727236,0.0003499362,0.000171341,0.0024657,0.0006834425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006877842,0.00005090477,0.9356574,0.0001021164,0.0001725344,0.0001694589,0.001318058,0.01668733,0.003853742,0.002683208,0.01570026,0.02291722],"study_design_scores_gemma":[0.00001764485,0.00001033725,0.9779069,0.00002492817,0.00003696088,0.00005869525,0.0008773318,0.01220293,0.0009611995,0.0003173326,0.007560199,0.00002542609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825577,0.0003276088,0.0004402887,0.0001942399,0.000009746411,0.00001754874,0.01323802,0.00007335893,0.003141584],"genre_scores_gemma":[0.9824107,0.0002232463,0.000909891,0.00003927085,0.000005677755,0.00001477154,0.0135174,0.00003729158,0.002841732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01892287,"threshold_uncertainty_score":0.1092726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006680484235777974,"score_gpt":0.1933936290974907,"score_spread":0.1867131448617128,"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."}}