{"id":"W6930651689","doi":"10.5281/zenodo.13269630","title":"Mutli-scale variations of ocean temperature off the coast of Nova Scotia: Analyses of in situ and remote sensing observations and high-resolution ocean models towards applications in ecosystem and fishery","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Neurogenesis and neuroplasticity mechanisms","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography","funders":"","keywords":"Upwelling; Sea surface temperature; Forcing (mathematics); Marine ecosystem; Ecosystem; Ocean heat content; Predictability; Satellite","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":[0.0001844199,0.0002348,0.0001282197,0.0004733983,0.0002731354,0.0004521012,0.0002310143,0.0001562317,0.0006760819],"category_scores_gemma":[0.0004654258,0.0001442797,0.0002817433,0.0006867962,0.0002725623,0.0001146431,0.0003392686,0.0001593372,0.000110233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001549656,"about_ca_system_score_gemma":0.001654974,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8143445,"about_ca_topic_score_gemma":0.861259,"domain_scores_codex":[0.9999427,0.000009286555,0.00000375855,0.00001616846,0.00001193573,0.00001609792],"domain_scores_gemma":[0.999808,0.00003461919,0.00003916435,0.00001694338,0.00006735502,0.0000338979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002406636,0.00005231124,0.9189951,0.0001925772,0.0003249844,0.0007858722,0.0004569502,0.03823118,0.01419657,0.0005815346,0.00331085,0.02263127],"study_design_scores_gemma":[0.00000772748,0.000007303585,0.9876934,0.00001633476,0.00001510153,0.00001980914,0.0001580622,0.01105292,0.0003209356,0.00005636671,0.0006443947,0.000007655902],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938175,0.0003387324,0.0005411839,0.000169256,0.000024832,0.00001349543,0.002486072,0.0000322801,0.002576606],"genre_scores_gemma":[0.9970936,0.0001911758,0.0003641485,0.00002625216,0.000005360492,0.000007245728,0.001337404,0.000008061839,0.0009668156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1856555,"threshold_uncertainty_score":0.3734978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06891752562551512,"score_gpt":0.2685432894001028,"score_spread":0.1996257637745877,"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."}}