{"id":"W3210848983","doi":"10.5206/mt.v1i1.14350","title":"Welcome to Maple Transactions","year":2021,"lang":"en","type":"article","venue":"Maple Transactions","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Maple; Computer science; Power (physics); Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001594802,0.0001751878,0.0002624498,0.000463884,0.0007680152,0.0007508059,0.0008316327,0.00005902976,0.01846553],"category_scores_gemma":[0.0002147835,0.0001614949,0.0002712627,0.003017963,0.0000618473,0.0003278412,0.00002995205,0.0002097261,0.004618659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006554936,"about_ca_system_score_gemma":0.0001122595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001117354,"about_ca_topic_score_gemma":0.001178987,"domain_scores_codex":[0.9964513,0.000168702,0.0006212799,0.001019045,0.00130295,0.0004366773],"domain_scores_gemma":[0.9970482,0.0005066739,0.00006227459,0.001735886,0.0003186495,0.0003283037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004777903,0.0009566024,0.0002499409,0.00002119387,0.0001555204,0.0001185258,0.002878169,0.07617533,0.002991818,0.002285282,0.2154334,0.6986865],"study_design_scores_gemma":[0.0003195547,0.00003299727,0.002665876,0.00001190739,0.00003945475,0.00003313871,0.002284148,0.005406009,0.001849062,0.002249485,0.9848464,0.0002620393],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006934468,0.00004022632,0.9640121,0.01178062,0.004487314,0.0001875866,0.0002427716,0.0001991883,0.01211566],"genre_scores_gemma":[0.8495967,0.000008914412,0.01603432,0.0009567803,0.0001569738,0.00004768135,0.0000267889,0.00002170059,0.1331501],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9479778,"threshold_uncertainty_score":0.9961563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1340253374543128,"score_gpt":0.3745559147470969,"score_spread":0.2405305772927841,"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."}}