{"id":"W2981365683","doi":"10.4095/296957","title":"MAXIMA: software to determine local maxima from gridded data","year":2015,"lang":"en","type":"report","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Maxima; Software; Maxima and minima; Environmental science; Computer science; Geology; Mathematics; Operating system; History; Mathematical analysis","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":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005585088,0.0004092895,0.0008438955,0.0004362604,0.0001303241,0.0004831979,0.004662006,0.0004796682,0.004993775],"category_scores_gemma":[0.01246298,0.0002973328,0.0001596434,0.0009835626,0.0001063169,0.0003325308,0.002722788,0.0003449199,0.00418107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004375598,"about_ca_system_score_gemma":0.002258896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002098404,"about_ca_topic_score_gemma":0.000699817,"domain_scores_codex":[0.9886022,0.00008109734,0.001529997,0.001874512,0.007555068,0.0003571829],"domain_scores_gemma":[0.9870158,0.001200356,0.0005501303,0.005408468,0.005330802,0.0004944656],"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":[0.000006159358,0.00002952291,0.0001664587,0.0000018839,0.00001107189,0.000007391351,0.00001101317,0.00002092544,0.000003820559,0.00002663664,0.7178293,0.2818858],"study_design_scores_gemma":[0.0001408044,0.00003413727,0.0004764682,0.00003018906,0.00003254371,0.00001859041,0.00007113334,0.002121056,0.0001011626,0.03212799,0.9644512,0.0003947308],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002322185,0.0002839503,0.8271009,0.001136651,0.0008508537,0.001040928,0.006441159,0.0006863646,0.162227],"genre_scores_gemma":[0.08984801,0.0003136134,0.6154509,0.005120012,0.005436406,0.0006210051,0.01351254,0.0003829651,0.2693145],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2814911,"threshold_uncertainty_score":0.9999479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5904597578324616,"score_gpt":0.5103871258921022,"score_spread":0.0800726319403594,"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."}}