{"id":"W6945113584","doi":"10.22033/esgf/cmip6.14689","title":"CSIRO-COSIMA ACCESS-OM2 model output prepared for CMIP6 OMIP omip2","year":2021,"lang":"en","type":"dataset","venue":"Earth System Grid Federation","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Coupled model intercomparison project; Climate model; Earth system science; Grid; Resource (disambiguation); Climate change; Research program; Downscaling","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003903272,0.0004104286,0.0005028102,0.00007109951,0.0008462918,0.0009018586,0.0004332698,0.0003964409,0.00008669752],"category_scores_gemma":[0.00007950557,0.0004085631,0.0002147657,0.0001925709,0.0000597676,0.0003317243,0.0002154992,0.0002410023,0.0005154507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002846656,"about_ca_system_score_gemma":0.0001469884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005656605,"about_ca_topic_score_gemma":0.002139233,"domain_scores_codex":[0.9972803,0.0001395805,0.000672085,0.0009566406,0.0005511613,0.0004002247],"domain_scores_gemma":[0.9982038,0.0000876962,0.0004340166,0.001049972,0.00006498316,0.0001595022],"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":[0.00002042708,0.00004975597,0.000007818053,0.000217693,0.00002837032,0.000002705903,0.00005005304,0.02862355,0.0001865646,0.00001464042,0.9697406,0.001057819],"study_design_scores_gemma":[0.000383773,0.00003483826,0.0001146629,0.0001643409,0.00009850865,0.00002507327,0.00004942385,0.1842816,0.0004616712,0.0000318193,0.8139082,0.0004460994],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007210202,0.0001082376,0.02617455,0.0002977129,0.001319942,0.002354082,0.9664065,0.0001788208,0.002439135],"genre_scores_gemma":[0.006429784,0.00003287163,0.003500969,0.0002124838,0.0009342214,0.0001754023,0.9862835,0.0000511957,0.002379504],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1558324,"threshold_uncertainty_score":0.9998366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02911884958654944,"score_gpt":0.2745241210478107,"score_spread":0.2454052714612612,"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."}}