{"id":"W6931695583","doi":"10.5281/zenodo.8187797","title":"nco/nco: Barbenheimer","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Redlen Technologies (Canada)","funders":"","keywords":"NetCDF; Invocation; Frame (networking); Semantics (computer science); Key (lock)","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":[0.001546323,0.002199044,0.001407415,0.002966313,0.001610946,0.003721162,0.003505863,0.001732435,0.2638317],"category_scores_gemma":[0.006687452,0.002076458,0.001199688,0.002737093,0.0007679263,0.004566358,0.003148042,0.003304129,0.3659287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002224907,"about_ca_system_score_gemma":0.002801729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01552719,"about_ca_topic_score_gemma":0.0143318,"domain_scores_codex":[0.9979539,0.0001587309,0.0001387219,0.0004866858,0.0009775882,0.0002844378],"domain_scores_gemma":[0.9972557,0.0003632182,0.0001275417,0.001041668,0.0009623445,0.0002494962],"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":[0.0001935592,0.00003245151,0.0003074881,0.0002966027,0.00001936654,0.00005808409,0.0000957609,0.0005939835,0.001903846,0.0167095,0.89853,0.08125933],"study_design_scores_gemma":[0.00004609944,0.000006838727,0.000293702,0.00007924144,0.000009584818,0.0001007122,0.00001544544,0.002226595,0.005137417,0.006397845,0.9856418,0.00004474618],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"other","genre_scores_codex":[0.001717473,0.0008695828,0.18923,0.0007053852,0.0007849368,0.0002176168,0.06505816,0.5129637,0.2284532],"genre_scores_gemma":[0.01551411,0.0007404991,0.1288867,0.0006671681,0.0002386248,0.0005701157,0.1716925,0.4849673,0.1967229],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2638317,"threshold_uncertainty_score":0.8826049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01905548846475099,"score_gpt":0.2333580152217771,"score_spread":0.2143025267570261,"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."}}