{"id":"W1969339947","doi":"10.5194/os-6-933-2010","title":"Spatio-Temporal Complexity analysis of the Sea Surface Temperature in the Philippines","year":2010,"lang":"en","type":"article","venue":"Ocean science","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Sea surface temperature; Environmental science; Monsoon; Climatology; Standard deviation; Geology; Mathematics; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001078081,0.00008232237,0.0001401472,0.00003914933,0.0003584989,0.00004058472,0.0009312475,0.00001985237,0.0001936262],"category_scores_gemma":[0.0001193151,0.00003952188,0.0000679165,0.003213155,0.001266307,0.0001754384,0.0004527757,0.000159451,0.000009888692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002607257,"about_ca_system_score_gemma":0.00002066095,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002191388,"about_ca_topic_score_gemma":0.03287501,"domain_scores_codex":[0.9988504,0.00005036133,0.0001592066,0.0002444959,0.0005076635,0.0001878631],"domain_scores_gemma":[0.9993783,0.00005115676,0.00008498835,0.0004337502,0.000021625,0.00003017867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001674859,0.000026777,0.9935026,0.000001896156,0.00000462849,3.968474e-7,0.0005178929,0.0002184091,0.004645913,0.0003708916,0.000606574,0.0001023366],"study_design_scores_gemma":[0.00004198452,0.000008669441,0.9949481,0.000002379749,0.00001922076,0.000001414943,0.0001753708,0.002472283,0.0006671,0.0002696952,0.001335138,0.00005867108],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936756,0.000005898811,0.000001113589,0.001656157,0.0001777743,0.000136966,0.00001178959,0.000007219758,0.004327517],"genre_scores_gemma":[0.9994892,0.000001394116,0.0001063153,0.0001292413,0.00001478368,9.354419e-7,0.000001739817,0.000001680658,0.0002547242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03068362,"threshold_uncertainty_score":0.9847725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01543712057036521,"score_gpt":0.2398417143793662,"score_spread":0.224404593809001,"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."}}