{"id":"W6960841597","doi":"10.1371/journal.pone.0126918.g003","title":"Climate envelope projections for the ECHAM5–A2 GCM (median model).","year":2015,"lang":"en","type":"other","venue":"Figshare","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Envelope (radar); GCM transcription factors; Climate change; Context (archaeology)","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":[0.0006012583,0.000638375,0.0004067906,0.0006539879,0.0004196595,0.0007958721,0.001594085,0.0007167305,0.0245299],"category_scores_gemma":[0.001108462,0.0003829437,0.0005156482,0.002403951,0.0002195915,0.0007845597,0.0004264031,0.001180388,0.006959975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002213771,"about_ca_system_score_gemma":0.003842823,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5745637,"about_ca_topic_score_gemma":0.6254715,"domain_scores_codex":[0.9998389,0.00002277974,0.000004453708,0.00003406214,0.00006392332,0.00003588951],"domain_scores_gemma":[0.9995653,0.00002343813,0.00002010173,0.00004609544,0.0002516722,0.00009338801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002965207,0.00006535766,0.01028241,0.0003031247,0.0001541447,0.00008946993,0.00009892091,0.07172794,0.0009776384,0.008636564,0.8845273,0.02284054],"study_design_scores_gemma":[0.0007226302,0.00004375045,0.07202478,0.0002427047,0.0001411983,0.0001085615,0.0004113478,0.08133461,0.002598096,0.01409775,0.828155,0.0001195089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.02239691,0.0009315317,0.007353217,0.00206806,0.0009001608,0.00007765612,0.8775809,0.003205459,0.08548612],"genre_scores_gemma":[0.269888,0.0008961749,0.02817484,0.0006561604,0.0001793355,0.0002254371,0.6629451,0.003323159,0.03371184],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5745637,"threshold_uncertainty_score":0.8558835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08730817058920315,"score_gpt":0.2407948281788275,"score_spread":0.1534866575896244,"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."}}