{"id":"W4312234236","doi":"10.23952/cot.2022.13","title":"Holditch’s Envelope","year":2022,"lang":"en","type":"article","venue":"Communications in Optimization Theory","topic":"Fashion and Cultural Textiles","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Envelope (radar); Computer science; Telecommunications","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":[0.00108358,0.0005771707,0.0007107178,0.001269286,0.001616382,0.002388796,0.001051192,0.001391394,0.01071613],"category_scores_gemma":[0.00555504,0.0004667046,0.001196565,0.0007970508,0.002891355,0.003901329,0.002836483,0.002401878,0.002154372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001264754,"about_ca_system_score_gemma":0.000775483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002532258,"about_ca_topic_score_gemma":0.001478033,"domain_scores_codex":[0.9993,0.00008675834,0.0000321242,0.0002087617,0.0001890074,0.0001831953],"domain_scores_gemma":[0.9984639,0.0004916589,0.0001279744,0.0003154212,0.0004105034,0.0001906337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003358674,0.000008498133,0.0004332476,0.00003119607,0.000007882488,0.00009649619,0.0001961699,0.003801415,0.001114519,0.9808837,0.002795315,0.01059794],"study_design_scores_gemma":[0.00001705179,0.00008598442,0.00133324,0.00004559792,0.00001229671,0.0002930668,0.0002313795,0.03172455,0.001652347,0.9340602,0.03051564,0.00002864815],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1613028,0.002202645,0.4614476,0.004100705,0.0003750297,0.000133093,0.001039837,0.0002362657,0.3691621],"genre_scores_gemma":[0.8739797,0.0015567,0.0365679,0.0007005586,0.0003170993,0.0001345532,0.0007150135,0.0003018756,0.08572654],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01071613,"threshold_uncertainty_score":0.03584903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06501096014975057,"score_gpt":0.2678663878900004,"score_spread":0.2028554277402498,"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."}}