{"id":"W7108218962","doi":"10.25504/fairsharing.7041ab","title":"FAIRsharing record for: Pacific Climate Impacts Consortium Data Portal","year":2025,"lang":"","type":"dataset","venue":"FAIRsharing.org","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; National weather service; Climate model; Pacific ocean; Climate system; Download","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001819018,0.001215596,0.001096,0.004725276,0.001416967,0.004683829,0.002996486,0.001494021,0.3827977],"category_scores_gemma":[0.01204194,0.0009171378,0.0007629931,0.0127405,0.0005436609,0.004527099,0.00393366,0.002296919,0.2522837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00319596,"about_ca_system_score_gemma":0.007237651,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1115637,"about_ca_topic_score_gemma":0.08729602,"domain_scores_codex":[0.9986644,0.000125805,0.0001488616,0.0002109419,0.0005798184,0.0002702987],"domain_scores_gemma":[0.993291,0.0009465857,0.0004171447,0.001800217,0.00249341,0.00105157],"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":[0.00001286051,0.00000472483,0.0001218634,0.00006248024,0.000002580743,0.000004994329,0.000007518498,0.00004519814,0.00001125279,0.0002978552,0.9982575,0.001171253],"study_design_scores_gemma":[0.00007613116,0.000003251965,0.001838753,0.0001085087,0.00000445724,0.00001183097,0.00004806645,0.0001193782,0.0001173549,0.001099558,0.9965512,0.00002146356],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004744771,0.00001197299,0.00004803068,0.0001428063,0.00003843862,0.00001709509,0.9952818,0.0004802329,0.003932192],"genre_scores_gemma":[0.000532123,0.00005983293,0.0002631959,0.0001101136,0.00002294295,0.0001240653,0.9923834,0.0005619079,0.005942401],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8884363,"threshold_uncertainty_score":0.8803641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08113175826975973,"score_gpt":0.3499032620036366,"score_spread":0.2687715037338769,"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."}}