{"id":"W4367593147","doi":"10.2139/ssrn.4406529","title":"Chapter 6: Interference","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Intelligence, Security, War Strategy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; University of Ottawa","funders":"","keywords":"Interference (communication); Computer science; Mathematics; Telecommunications; Channel (broadcasting)","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":[0.001282713,0.001360657,0.001157239,0.001417293,0.00258653,0.003857259,0.00316307,0.002400358,0.1727938],"category_scores_gemma":[0.005824784,0.000642676,0.001595848,0.001363314,0.001902702,0.004457086,0.004454011,0.00361831,0.05270899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001316653,"about_ca_system_score_gemma":0.001439053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001432157,"about_ca_topic_score_gemma":0.001340859,"domain_scores_codex":[0.9971628,0.0005273345,0.0001304062,0.0004622401,0.001373688,0.0003435283],"domain_scores_gemma":[0.9975446,0.0009095977,0.0001156499,0.0005855468,0.0007404999,0.0001040264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000137046,0.0001624027,0.0004952708,0.0007377156,0.00005082374,0.0003754597,0.0008084199,0.00303054,0.004236345,0.6546975,0.1494335,0.1858349],"study_design_scores_gemma":[0.00002718038,0.0001040243,0.0004373855,0.0005521445,0.00005444376,0.000984869,0.0003620602,0.003252505,0.005420454,0.2540699,0.7346948,0.00004029028],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002502672,0.004097014,0.09848645,0.002516062,0.002543353,0.0002630972,0.0004802567,0.0008202214,0.8882909],"genre_scores_gemma":[0.1192485,0.01047752,0.04952608,0.004798824,0.003708445,0.0008135189,0.002180634,0.00160794,0.8076386],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1727938,"threshold_uncertainty_score":0.5780529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02958489301753585,"score_gpt":0.3233665572145383,"score_spread":0.2937816641970025,"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."}}