{"id":"W6963838201","doi":"10.20383/102.0546","title":"SalishSeaCast hourly surface along-axis wind velocity, temperature and nitrate summary 2015-2019","year":2022,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Plant Ecology and Soil Science","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hindcast; Wind speed; Sea surface temperature; Nitrate; Wind stress; Upwelling","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004383181,0.00109522,0.0007985161,0.001555099,0.0003802835,0.001084572,0.001520484,0.0008915476,0.0425646],"category_scores_gemma":[0.001856266,0.0004773542,0.0007897452,0.003965779,0.0001933473,0.0009053348,0.001067298,0.000974061,0.04352915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001380942,"about_ca_system_score_gemma":0.002131741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1216231,"about_ca_topic_score_gemma":0.1558627,"domain_scores_codex":[0.9996526,0.00002754999,0.00004632485,0.0001011665,0.0001086937,0.00006366357],"domain_scores_gemma":[0.9992217,0.0000822232,0.00008275302,0.0001444596,0.0003815292,0.00008725486],"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":[0.00004379158,0.00001082265,0.002410189,0.0003298809,0.00004028929,0.00001762879,0.00001599023,0.0004471719,0.0001025256,0.0003070426,0.9944072,0.001867446],"study_design_scores_gemma":[0.0004109246,0.00002160794,0.03367865,0.0002966976,0.00005345233,0.00004822094,0.0001843916,0.001457565,0.000726753,0.001055856,0.9620146,0.00005131321],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002042746,0.00001619754,0.00001885909,0.00002813034,0.00001268333,0.000002766209,0.999262,0.0001133948,0.0003417586],"genre_scores_gemma":[0.0007479833,0.00002337739,0.0000969942,0.00001952637,0.000004396425,0.00001771472,0.9985799,0.00003273635,0.0004774029],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1216231,"threshold_uncertainty_score":0.2418305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01496707407350319,"score_gpt":0.2604372233957899,"score_spread":0.2454701493222867,"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."}}