{"id":"W4315490211","doi":"10.1038/s41592-022-01747-1","title":"Neural networks primer","year":2023,"lang":"es","type":"article","venue":"Nature Methods","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Primer (cosmetics); Computational biology; Computer science; Biology; Artificial intelligence; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008914257,0.0006991949,0.0004247633,0.001307437,0.0003884895,0.001902406,0.00136741,0.00189301,0.08626586],"category_scores_gemma":[0.003662748,0.0004620875,0.0005422485,0.0008268046,0.000473895,0.002389454,0.001023374,0.002062763,0.06226334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007407124,"about_ca_system_score_gemma":0.0008625963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001651238,"about_ca_topic_score_gemma":0.00254461,"domain_scores_codex":[0.9995872,0.00009573732,0.00002439759,0.0000722708,0.0001950757,0.00002528143],"domain_scores_gemma":[0.9988903,0.0005060169,0.00004627848,0.0001499103,0.0003511782,0.00005623791],"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":[0.00002997401,0.00003243588,0.0001288266,0.0002998334,0.00001645151,0.0000629108,0.0000427249,0.001844983,0.001008031,0.1173508,0.5807014,0.2984817],"study_design_scores_gemma":[0.000006466082,0.000008225017,0.0001309084,0.0001829488,0.000006978498,0.0001279217,0.00001383399,0.004028082,0.001092596,0.06619062,0.9281995,0.00001184129],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009079529,0.02677875,0.4734067,0.02890035,0.01690291,0.0002042526,0.003713239,0.006822531,0.4423634],"genre_scores_gemma":[0.01429652,0.02514122,0.1884062,0.01296847,0.0062184,0.0006692777,0.004046575,0.002441463,0.7458118],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08626586,"threshold_uncertainty_score":0.288588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02957834011864322,"score_gpt":0.4047613696741572,"score_spread":0.375183029555514,"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."}}