{"id":"W2069126428","doi":"10.1007/s00373-007-0709-0","title":"Enumerating Non-crossing Minimally Rigid Frameworks","year":2007,"lang":"en","type":"article","venue":"Graphs and Combinatorics","topic":"Structural Analysis and Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Mathematics; Combinatorics; Set (abstract data type); Point (geometry); Space (punctuation); Graph; Property (philosophy); Enhanced Data Rates for GSM Evolution; Discrete mathematics; Algorithm; Computer science; Geometry; Artificial intelligence","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":[0.0001126415,0.0001103573,0.0001259525,0.00008141341,0.0002058052,0.0001569076,0.00005452631,0.0001385868,0.00001030642],"category_scores_gemma":[0.00001005478,0.0001009803,0.00004557018,0.0003661918,0.00003050998,0.0001197792,0.00001508809,0.0002144529,0.000001426341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001618943,"about_ca_system_score_gemma":0.000004060833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008661052,"about_ca_topic_score_gemma":0.000004797379,"domain_scores_codex":[0.9994152,0.000003484418,0.0001732708,0.0001129426,0.0001014861,0.0001936585],"domain_scores_gemma":[0.999742,0.00003338205,0.00002701186,0.0000883673,0.00004144883,0.00006774114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000540498,0.0001020171,0.1761085,0.0004780413,0.0006084515,0.0001209519,0.006636271,0.04443606,0.01869575,0.355367,0.002423195,0.3949697],"study_design_scores_gemma":[0.001667407,0.0001858843,0.1583907,0.0001742484,0.0001866044,0.0000392055,0.0008302489,0.6340277,0.01288608,0.1862155,0.003782345,0.001614128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648818,0.0009300753,0.03152716,0.00001326781,0.0003959492,0.00004219695,8.385013e-7,0.0001098086,0.002098951],"genre_scores_gemma":[0.9974198,0.0001183991,0.002343078,0.00004188181,0.00002701339,0.000001229075,0.000005277852,0.00001384913,0.00002950736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5895916,"threshold_uncertainty_score":0.4117858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003462599481939789,"score_gpt":0.1969183633865814,"score_spread":0.1934557639046416,"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."}}