{"id":"W4399551865","doi":"10.32614/cran.package.domino","title":"domino: R Console Bindings for the 'Domino Command-Line Client'","year":2014,"lang":"en","type":"dataset","venue":"","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Domtar (Canada)","funders":"","keywords":"Domino; Domino effect; Line (geometry); Operating system; Computer science; Programming language; Embedded system; Chemistry; Physics; Mathematics; Nuclear physics","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":[0.002534199,0.002787904,0.002089206,0.003259672,0.001105561,0.00294934,0.004123299,0.001288495,0.166585],"category_scores_gemma":[0.009121214,0.001788465,0.001760829,0.003588046,0.0005244476,0.002759522,0.002713342,0.003172018,0.2554584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0015102,"about_ca_system_score_gemma":0.003316977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01286297,"about_ca_topic_score_gemma":0.02665214,"domain_scores_codex":[0.998613,0.0002638012,0.0001895007,0.0003735433,0.0003667509,0.0001933867],"domain_scores_gemma":[0.9971952,0.0008194614,0.0002195959,0.0009461791,0.0005594107,0.0002600481],"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":[0.00007169033,0.00001068861,0.0003652803,0.0003564598,0.00002697944,0.00002117889,0.00002528736,0.0001103784,0.0005077464,0.000645735,0.9949024,0.002956241],"study_design_scores_gemma":[0.0002837569,0.00001375874,0.002225044,0.000148649,0.00003507121,0.0001006875,0.00004180014,0.0009037975,0.002756742,0.003304565,0.9901197,0.00006648147],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0003267011,0.0001713206,0.005151745,0.0002043105,0.00008885129,0.00008692965,0.9374452,0.05203633,0.004488594],"genre_scores_gemma":[0.001543627,0.0001539669,0.007319384,0.0003273779,0.00002372656,0.000681561,0.9746972,0.01185757,0.003395588],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.166585,"threshold_uncertainty_score":0.5572823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02889021758291585,"score_gpt":0.2921973803892516,"score_spread":0.2633071628063357,"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."}}