{"id":"W4249292238","doi":"10.1007/978-981-15-4374-6_8","title":"Summary and Future Research Directions","year":2020,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Data science; Management science; Engineering ethics; Engineering","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"],"consensus_categories":[],"category_scores_codex":[0.0001095181,0.0002905853,0.0003720743,0.00009055295,0.0001637669,0.00007242622,0.0001250204,0.000472625,0.00009611051],"category_scores_gemma":[0.000005066053,0.0003035169,0.00005426483,0.0000590829,0.0001035989,0.00006103941,0.00008089341,0.0008938949,0.00003260348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005157653,"about_ca_system_score_gemma":0.0000103564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005910721,"about_ca_topic_score_gemma":0.0000234637,"domain_scores_codex":[0.998936,0.00002375381,0.0002260005,0.0003148833,0.0001799119,0.0003194466],"domain_scores_gemma":[0.999396,0.0001133611,0.0000303253,0.0002428862,0.000051947,0.0001654879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007905557,0.00001200362,0.000009106331,0.0007654009,0.0004621783,0.0003696929,0.0002417049,0.0963532,0.0009261314,0.3095072,0.108534,0.4827403],"study_design_scores_gemma":[0.00009309426,0.00001832699,0.00001286193,0.0002089498,0.00002039895,0.00001340126,0.000009670492,0.008272079,0.00003016502,0.002315019,0.9886624,0.0003435884],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001262321,0.01868157,0.0007437369,0.0001691603,0.002672725,0.0001996579,0.00004571027,0.001042819,0.9763184],"genre_scores_gemma":[0.04039208,0.2806618,0.001221408,0.0002547496,0.04305987,0.0001032992,0.0006774869,0.001240354,0.632389],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8801284,"threshold_uncertainty_score":0.9999417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02705285988275065,"score_gpt":0.2475792458282721,"score_spread":0.2205263859455214,"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."}}