{"id":"W6949372230","doi":"10.5281/zenodo.13122797","title":"Global Daily SST Analysis at Environment and Cliimate Change Canada","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Presentation (obstetrics); Climate change; Work (physics); Global change","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":[0.000326597,0.0003368094,0.0002367172,0.00123665,0.00102217,0.001219325,0.0004618239,0.0002575016,0.007736332],"category_scores_gemma":[0.001140736,0.0001281265,0.0003928461,0.004409351,0.000289424,0.0003998667,0.0007192605,0.0006188328,0.001151488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009719687,"about_ca_system_score_gemma":0.01929596,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9867049,"about_ca_topic_score_gemma":0.9926049,"domain_scores_codex":[0.9997489,0.00001331145,0.000005797831,0.00004225579,0.0001127723,0.00007694886],"domain_scores_gemma":[0.9991647,0.00002698685,0.00002675833,0.00004527936,0.0005720795,0.0001641932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000267875,0.0000627679,0.494306,0.0003177782,0.0003378174,0.0004198326,0.00196425,0.01727692,0.003541304,0.01265969,0.3481812,0.1206646],"study_design_scores_gemma":[0.00002517042,0.00002107573,0.814788,0.00009392221,0.00008182492,0.00005387834,0.001844179,0.009669868,0.001216366,0.001134545,0.1710165,0.00005462538],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4191287,0.003078422,0.008641651,0.005374358,0.0005103055,0.000132257,0.4021883,0.001591387,0.1593546],"genre_scores_gemma":[0.8281809,0.001488047,0.00605454,0.000321632,0.0000923816,0.00006425259,0.1071561,0.0006063646,0.05603575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01329511,"threshold_uncertainty_score":0.07052159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0343752560527751,"score_gpt":0.2638814672009981,"score_spread":0.229506211148223,"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."}}