{"id":"W6930515865","doi":"10.5281/zenodo.14962014","title":"Dataset for \"climatic gradient drives energy flow and consumer production in streams\"","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Personality Disorders and Psychopathology","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Riparian zone; Ecosystem; Biomass (ecology); Productivity; Food web; Climate change; Arid; Precipitation; Energy flow","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0008898616,0.001514501,0.001093602,0.001979348,0.0005860556,0.001604512,0.001931401,0.00182462,0.04313087],"category_scores_gemma":[0.005517018,0.0004383065,0.001409415,0.003466786,0.0002957402,0.0007040986,0.001525457,0.001237881,0.03285808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009799686,"about_ca_system_score_gemma":0.001493751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02563654,"about_ca_topic_score_gemma":0.04156005,"domain_scores_codex":[0.9994405,0.0001248767,0.00009089841,0.0001612107,0.0001010848,0.00008144027],"domain_scores_gemma":[0.9987031,0.000510081,0.0001883695,0.0002019724,0.0002645511,0.0001319755],"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":[0.0001838126,0.00006196404,0.00703398,0.00160816,0.0001803151,0.00009166964,0.00005277177,0.001234106,0.0001698154,0.0006732147,0.9836003,0.005109863],"study_design_scores_gemma":[0.001887452,0.00008074174,0.04888325,0.0009496036,0.0002218623,0.0002785913,0.0002210028,0.004163719,0.0004827311,0.004523577,0.9382157,0.00009171734],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004447978,0.00008048581,0.00005859199,0.00007079544,0.00001622665,0.00001011999,0.9988387,0.0001947993,0.0002853862],"genre_scores_gemma":[0.00152242,0.00006718456,0.0003091368,0.00004808011,0.00000961439,0.0001106692,0.9975905,0.00002753746,0.000314917],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04313087,"threshold_uncertainty_score":0.1442872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03394929400067872,"score_gpt":0.3027539902102136,"score_spread":0.2688046962095349,"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."}}