{"id":"W6912558924","doi":"10.5281/zenodo.4010680","title":"CLASSIC v1.0: the open-source community successor to the Canadian Land Surface Scheme (CLASS) and the Canadian Terrestrial Ecosystem Model (CTEM) - Part 2: Global Benchmarking","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Benchmarking; Successor cardinal; Scheme (mathematics); Terrestrial ecosystem; Ecosystem","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":[0.005291655,0.002233677,0.001239907,0.002625593,0.001694624,0.003482857,0.006842909,0.001467785,0.1010487],"category_scores_gemma":[0.01896917,0.001460594,0.001693844,0.004382601,0.0009066621,0.003375812,0.003335209,0.002891401,0.08453722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007905743,"about_ca_system_score_gemma":0.01867096,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5640215,"about_ca_topic_score_gemma":0.4624593,"domain_scores_codex":[0.9967738,0.0003260493,0.0001413779,0.0004300163,0.001851223,0.0004775259],"domain_scores_gemma":[0.9913919,0.0009200307,0.0002540099,0.001526288,0.005217105,0.0006907779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001701436,0.00003031346,0.00151539,0.0002937444,0.00009634821,0.00003465173,0.0001071109,0.008861322,0.001502868,0.00674983,0.9586101,0.02202829],"study_design_scores_gemma":[0.0001823905,0.00003775193,0.00494756,0.0001893021,0.00008618902,0.00006120326,0.0001025846,0.02514405,0.00679966,0.007054191,0.9551255,0.000269721],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.005890306,0.0005184258,0.08982527,0.001484305,0.0007975054,0.0006579912,0.4819257,0.331119,0.08778149],"genre_scores_gemma":[0.03046909,0.0005471834,0.09521196,0.0007622329,0.0001053895,0.0009721315,0.5933699,0.2354867,0.04307535],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4359785,"threshold_uncertainty_score":0.8770922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0488854056955318,"score_gpt":0.2322990143040465,"score_spread":0.1834136086085147,"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."}}