{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.0006555913,0.0004758332,0.0005838062,0.0002362045,0.0004258094,0.0003262156,0.007355397,0.0004062111,0.00005360514],"category_scores_gemma":[0.0005896988,0.0003006294,0.0001785782,0.0003376095,0.0004472644,0.0003860294,0.002934765,0.0005893504,0.000398761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008211028,"about_ca_system_score_gemma":0.00008213295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009826081,"about_ca_topic_score_gemma":0.0001615516,"domain_scores_codex":[0.9975823,0.00004492079,0.0005020475,0.0008880778,0.00037191,0.0006108025],"domain_scores_gemma":[0.9932177,0.002021221,0.0004541531,0.004107398,0.0001219557,0.00007756492],"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":[0.00001385525,0.00003216459,5.794919e-7,0.00004368477,0.00003725014,0.000005374667,0.000005750616,0.000009929234,0.000006941683,0.01081233,0.9786744,0.01035781],"study_design_scores_gemma":[0.0007482967,0.0001576347,0.000001186732,0.00003221884,0.00004757269,0.00002179721,0.0000195479,0.002218659,0.0005212216,0.0031707,0.9926454,0.0004158062],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001605869,0.0001609082,0.4547184,0.001213916,0.0007969368,0.0006062988,0.5420997,0.0003567935,0.00004546273],"genre_scores_gemma":[0.00003515184,0.0003899289,0.1155988,0.00221531,0.0002432498,0.0003810434,0.8801604,0.00002673727,0.000949415],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3391197,"threshold_uncertainty_score":0.9999446,"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."}}