{"id":"W4245318270","doi":"10.14322/publons.r2610381","title":"10.14322/publons.r2610381","year":2000,"lang":"en","type":"dataset","venue":"Time to knit","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Current (fluid); Artificial neural network; Computer science; Artificial intelligence; Engineering; Electrical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001494378,0.0030384,0.001475073,0.003346154,0.0006021549,0.00267245,0.003324094,0.001630276,0.5698347],"category_scores_gemma":[0.004090592,0.001162554,0.001067134,0.005049799,0.000662843,0.001553536,0.002564268,0.001091455,0.8266152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001183869,"about_ca_system_score_gemma":0.001330603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009163117,"about_ca_topic_score_gemma":0.01260168,"domain_scores_codex":[0.9988118,0.0001471636,0.0001195832,0.0004254456,0.0002992627,0.0001968147],"domain_scores_gemma":[0.998237,0.0002198075,0.000132726,0.0007685635,0.0004267708,0.0002151276],"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":[0.0001000759,0.00003456671,0.00032966,0.0002410278,0.00001502537,0.00001298915,0.000008690893,0.000352029,0.0002729196,0.0003090143,0.9842165,0.01410748],"study_design_scores_gemma":[0.0002252557,0.00007375421,0.001870073,0.0001291634,0.00002122776,0.00006893503,0.00003685663,0.001944677,0.002090595,0.001227843,0.9922729,0.00003889392],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008802072,0.000277291,0.001698419,0.0002514649,0.0002081811,0.00009292551,0.9621512,0.0188404,0.0155999],"genre_scores_gemma":[0.001689542,0.0001707474,0.00168393,0.0001588001,0.0000453482,0.0001387402,0.9649819,0.001850172,0.02928086],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4301653,"threshold_uncertainty_score":0.6135786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007003138386354326,"score_gpt":0.1930983092515608,"score_spread":0.1860951708652065,"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."}}