{"id":"W2324016647","doi":"10.1364/acpc.2013.aw3i.1","title":"FiWi Access Networks and the Golden Age: From Installation to Deployment in a Sustainable Third Industrial Revolution Economy","year":2013,"lang":"en","type":"article","venue":"Asia Communications and Photonics Conference 2013","topic":"ICT Impact and Policies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Backhaul (telecommunications); Software deployment; Industrial Revolution; Broadband; Access network; Wireless; Telecommunications; Business; Sustainable development; Computer science; Geography; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.0001876311,0.0001164108,0.0001591934,0.00007440906,0.0001559513,0.0004067488,0.0004012972,0.0001013723,0.00003617139],"category_scores_gemma":[0.00001933137,0.00009633923,0.00001684481,0.0001531652,0.0001036909,0.0004383753,0.0003129035,0.0002653405,0.000007572983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006255502,"about_ca_system_score_gemma":0.00003966247,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01946509,"about_ca_topic_score_gemma":0.003598431,"domain_scores_codex":[0.9993846,0.00008259722,0.0002164631,0.00006830466,0.0000410594,0.0002069602],"domain_scores_gemma":[0.9991018,0.0001743236,0.00004247056,0.0005532379,0.00005667066,0.00007151275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002120529,0.0002325006,0.04676593,0.000120574,0.0004608223,0.000002445229,0.09349852,0.03667606,0.0005491712,0.6624427,0.07793806,0.08110113],"study_design_scores_gemma":[0.002279054,0.00006503211,0.05595175,0.0001085591,0.00004624034,0.000003255783,0.006443397,0.7698732,0.00008031149,0.0175472,0.1471271,0.0004748306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.960593,0.002773779,0.001221779,0.005287705,0.00007782283,0.001513395,0.000009682906,0.00007915118,0.02844372],"genre_scores_gemma":[0.9948393,0.004255279,0.0001673487,0.0001497281,0.00001945844,0.0002747028,0.00003811518,0.00001104437,0.000245004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7331972,"threshold_uncertainty_score":0.9870644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03345002298901968,"score_gpt":0.2581578591974661,"score_spread":0.2247078362084465,"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."}}