{"id":"W2947691160","doi":"","title":"Productive and Profitable Cluster Hire.","year":2019,"lang":"en","type":"article","venue":"The Florida AI Research Society","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University; University of Windsor","funders":"","keywords":"Cluster (spacecraft); Business; Computer science; Industrial organization; Computer network","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":[0.001178342,0.0002723958,0.0002348676,0.0009593876,0.003070864,0.003838,0.0005243162,0.001206779,0.05019738],"category_scores_gemma":[0.005656019,0.0002036999,0.0001434207,0.0006970203,0.001036253,0.002138989,0.002194783,0.0009213946,0.00972397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001350781,"about_ca_system_score_gemma":0.003140255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002882098,"about_ca_topic_score_gemma":0.01211885,"domain_scores_codex":[0.9991537,0.0001354265,0.00001760596,0.0001079528,0.0002378929,0.0003474425],"domain_scores_gemma":[0.9956933,0.0006912346,0.0004261131,0.0003491319,0.0006808335,0.00215948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0005042283,0.000677617,0.05372458,0.0003357933,0.00006265119,0.001051987,0.001977863,0.002353685,0.006696457,0.3429868,0.2668073,0.322821],"study_design_scores_gemma":[0.0001171814,0.0003969295,0.1047063,0.0003614491,0.00005990242,0.001787385,0.02156893,0.008265396,0.0042198,0.3183976,0.5400222,0.0000969394],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.199938,0.002331162,0.01097125,0.01978284,0.0006098846,0.0002136569,0.0008966419,0.0002882914,0.7649682],"genre_scores_gemma":[0.8507174,0.0009389495,0.002659012,0.0006817622,0.0002430474,0.00006853473,0.0004370846,0.00005306044,0.1442011],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05019738,"threshold_uncertainty_score":0.167927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03312188254979023,"score_gpt":0.3313306282493884,"score_spread":0.2982087456995982,"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."}}