{"id":"W4394044270","doi":"10.5281/zenodo.6606784","title":"CRISI-ADAPT II: free downscaled climate projection layers","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Projection (relational algebra); Climate simulation; Environmental science; Climate change; Climatology; Meteorology; Computer science; Geography; Climate model; Geology; Oceanography; Algorithm","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":[0.002264652,0.00136331,0.0008417961,0.001390555,0.0005057209,0.001995108,0.002852453,0.001034235,0.03245158],"category_scores_gemma":[0.003536879,0.001036339,0.001849641,0.003174905,0.0002343692,0.001809615,0.00171463,0.002335704,0.01594181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008866294,"about_ca_system_score_gemma":0.002429388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01783612,"about_ca_topic_score_gemma":0.01129154,"domain_scores_codex":[0.999175,0.000203342,0.00007634282,0.0001644882,0.0002765723,0.0001041589],"domain_scores_gemma":[0.9990799,0.00008849297,0.00008559626,0.0003220146,0.0003308597,0.00009309943],"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":[0.0008602425,0.0002356334,0.01166354,0.0008175693,0.0005476091,0.0002657079,0.0004172177,0.1244435,0.009052417,0.02805792,0.7213969,0.1022417],"study_design_scores_gemma":[0.0009019014,0.00008578998,0.02606559,0.0003032469,0.0001619197,0.0001306418,0.000228051,0.1642959,0.01079303,0.01323159,0.7834933,0.0003089581],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02381936,0.0004922974,0.1201768,0.0009121927,0.0008544622,0.0006248238,0.7461536,0.04597867,0.06098776],"genre_scores_gemma":[0.08607412,0.0004280586,0.24315,0.0003490469,0.0002159726,0.00183683,0.6496404,0.009708036,0.008597517],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03245158,"threshold_uncertainty_score":0.1085613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0330673227859436,"score_gpt":0.2440687882882714,"score_spread":0.2110014655023278,"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."}}