{"id":"W2096596625","doi":"10.48550/arxiv.1307.2712","title":"On cluster points of alternating projections","year":2013,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Intersection (aeronautics); Combinatorics; Euclidean space; Regular polygon; Euclidean geometry; Cluster (spacecraft); Point (geometry); Geometry; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001804481,0.0006380444,0.000980934,0.001921801,0.002436263,0.002455287,0.001391341,0.001259502,0.005857364],"category_scores_gemma":[0.007274728,0.0005956012,0.0009069022,0.001028742,0.003896188,0.00269818,0.004471557,0.002120469,0.0007321698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001996483,"about_ca_system_score_gemma":0.0008789691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002577766,"about_ca_topic_score_gemma":0.001801408,"domain_scores_codex":[0.9984967,0.0004748323,0.00005191338,0.0003089435,0.0004260975,0.0002415119],"domain_scores_gemma":[0.9977678,0.001028978,0.0002722798,0.0002196581,0.0003632982,0.0003480991],"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":[0.00007189686,0.00002254304,0.0008927189,0.00003829325,0.00001550879,0.00008770997,0.0003339156,0.01284298,0.001108575,0.9801857,0.0006088923,0.003791147],"study_design_scores_gemma":[0.00003194401,0.00007106742,0.0009347942,0.00006690252,0.00001503302,0.0001337913,0.0004730728,0.2034834,0.001806648,0.7893637,0.003587057,0.00003247463],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4133233,0.0007428574,0.5447266,0.0009345618,0.00008282009,0.00009385498,0.0002726925,0.0002640587,0.03955936],"genre_scores_gemma":[0.8974261,0.0004591809,0.09019026,0.0001714415,0.00007476311,0.0002205863,0.0004722705,0.0001816585,0.01080359],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005857364,"threshold_uncertainty_score":0.01959491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06039888949447531,"score_gpt":0.1927773026925436,"score_spread":0.1323784131980683,"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."}}