{"id":"W6931275959","doi":"10.5281/zenodo.3541229","title":"NPA_ref4767","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"IoT-based Smart Home Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Context (archaeology); Identification (biology); Field (mathematics)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003581428,0.0001285067,0.0001378588,0.0001869502,0.0004603631,0.0003465779,0.0006073243,0.00006389401,0.0150211],"category_scores_gemma":[0.00007555219,0.0001383408,0.00004670262,0.0003954952,0.00003902855,0.0001934392,0.0002770394,0.0002194283,0.07703612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001541476,"about_ca_system_score_gemma":0.000001292291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004365667,"about_ca_topic_score_gemma":1.010406e-7,"domain_scores_codex":[0.9988459,0.0001061982,0.0001937569,0.0002364174,0.0002741442,0.0003436069],"domain_scores_gemma":[0.9992021,0.00001327191,0.00002912842,0.0004608785,0.0001687302,0.0001258514],"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":[0.00005187292,0.0001149082,0.00006008549,0.0006823264,0.0001722226,0.00003285928,0.002064015,0.007719276,0.08861987,0.009630036,0.7817528,0.1090998],"study_design_scores_gemma":[0.0003373752,0.00007502156,0.0003445024,0.00002509591,0.000004094387,0.00004963219,0.0001205157,0.003860577,0.001369437,0.00003063496,0.9936114,0.0001717239],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2016913,0.0001569139,0.003676362,0.0001558777,0.0008034778,0.000678413,0.0001108349,0.004237884,0.788489],"genre_scores_gemma":[0.9954157,0.00001961284,0.0001024054,0.00003833216,0.0001644565,2.09806e-8,0.000407522,0.001855244,0.001996676],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7937245,"threshold_uncertainty_score":0.9858793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01391289277125528,"score_gpt":0.19415682479589,"score_spread":0.1802439320246347,"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."}}