{"id":"W3007288468","doi":"10.1111/1365-2745.13379","title":"Interactive effects of global change factors on terrestrial net primary productivity are treatment length and intensity dependent","year":2020,"lang":"en","type":"article","venue":"Journal of Ecology","topic":"Climate variability and models","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interaction; Primary production; Global change; Context (archaeology); Species richness; Global warming; Climate change; Productivity; Ecosystem; Environmental science; Terrestrial ecosystem; Ecology; Biology; Agronomy; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001328975,0.0001057217,0.0003516958,0.00001357082,0.0000302201,0.000005748463,0.0000802228,0.0000633239,0.00004570296],"category_scores_gemma":[0.0002755993,0.00007582985,0.00006677584,0.00004936672,0.00009859275,0.0001657119,0.0001161337,0.0001276627,0.000003595399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004948631,"about_ca_system_score_gemma":0.00001732287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001521246,"about_ca_topic_score_gemma":0.0003130043,"domain_scores_codex":[0.9992368,0.0001301454,0.000212834,0.0001754374,0.0001189324,0.0001259021],"domain_scores_gemma":[0.9992699,0.0002031941,0.0003329477,0.00007577454,0.00001123406,0.000106932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001511668,0.0008192087,0.9888698,0.00002887518,0.00008808862,0.00006859913,0.00207585,0.0001601141,0.003567524,0.000007383143,0.00009717488,0.00270571],"study_design_scores_gemma":[0.001044412,0.003193137,0.9925824,0.00001493799,0.00005850754,0.00002960861,0.0001326361,0.00009940204,0.002512767,0.0001896599,0.00007946166,0.00006309217],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976838,0.0000136242,0.00001231062,0.001434744,0.0004754242,0.00026786,0.00001262092,0.000003721697,0.00009587406],"genre_scores_gemma":[0.9995793,0.00003286427,0.0000537327,0.0002189303,0.0001065278,0.000002807927,9.727925e-7,0.000003127947,0.000001793147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003712574,"threshold_uncertainty_score":0.3092251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03772366346160479,"score_gpt":0.2565209988510391,"score_spread":0.2187973353894343,"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."}}