{"id":"W4401418652","doi":"10.22541/essoar.172313447.78539241/v1","title":"Trends and projections in climate-related stressors impacting Arctic marine ecosystems -A CMIP6 model analysis","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Fisheries and Oceans Canada","funders":"","keywords":"Environmental science; Marine ecosystem; Arctic; Stressor; Ecosystem; Climatology; Climate change; Oceanography; The arctic; Geography; Ecology; Geology; Biology","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":[0.001126096,0.0009052524,0.0003400429,0.0006127867,0.0003380243,0.0007105986,0.0006551541,0.000911332,0.003246869],"category_scores_gemma":[0.001372212,0.0003685766,0.001191943,0.001227077,0.0001734905,0.000626008,0.0003105818,0.0005016305,0.0006743576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009814552,"about_ca_system_score_gemma":0.0008420556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09548239,"about_ca_topic_score_gemma":0.04775267,"domain_scores_codex":[0.9998394,0.0000515851,0.00001009556,0.00003885709,0.00002862547,0.00003131406],"domain_scores_gemma":[0.999436,0.0001529832,0.00006901334,0.00004324832,0.0002224197,0.00007641806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002122742,0.00005683335,0.03314443,0.00007505737,0.000154012,0.00007920324,0.00003534686,0.9557408,0.0005748412,0.0009004128,0.005011169,0.004015567],"study_design_scores_gemma":[0.0001098615,0.0001094737,0.04047822,0.00004911114,0.0001396206,0.00007255063,0.0001481564,0.9514945,0.001094229,0.001572317,0.00467577,0.00005620828],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9453554,0.0003307707,0.004411404,0.0007542698,0.00007823447,0.00002298033,0.04303923,0.0004423512,0.005565498],"genre_scores_gemma":[0.9691814,0.000349848,0.003822696,0.0000850296,0.00002630414,0.00004581604,0.02455029,0.00008728493,0.001851365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09548239,"threshold_uncertainty_score":0.1898532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02006193133928492,"score_gpt":0.2892643537122982,"score_spread":0.2692024223730133,"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."}}