{"id":"W2398153856","doi":"","title":"Enumeration of boundary cubic inner-forest maps.","year":2013,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"Topological and Geometric Data Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Enumeration; Mathematics; Boundary (topology); Geometry; Combinatorics; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001705275,0.0000952921,0.0001829464,0.0001826754,0.00008904104,0.0001370948,0.000725441,0.00006045118,0.0001557775],"category_scores_gemma":[0.0001109026,0.00007604747,0.00006972974,0.00124596,0.00007151979,0.0006630014,0.0002594,0.00009203194,0.0003648443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001933658,"about_ca_system_score_gemma":0.00003183133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003906924,"about_ca_topic_score_gemma":0.000007289031,"domain_scores_codex":[0.9990079,0.00005225293,0.0002483113,0.0002444443,0.000255438,0.0001916831],"domain_scores_gemma":[0.9990726,0.00009147236,0.0001086776,0.0005132089,0.0001341853,0.00007982634],"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":[8.776599e-7,0.0001152034,0.008840778,0.000005844257,0.00002420112,0.000002763461,0.00005844202,0.00001381186,0.0002639195,0.9644325,0.01001683,0.01622484],"study_design_scores_gemma":[0.0003012622,0.0001431074,0.04978414,0.000005528903,0.00001072927,0.0000027927,0.00001356987,0.002963573,0.001128335,0.9368947,0.008601009,0.0001512553],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826806,0.0003686235,0.01015522,0.001571778,0.001217684,0.0001713536,0.000006770955,0.0001188549,0.003709157],"genre_scores_gemma":[0.9973289,0.00001982928,0.002129897,0.0001456666,0.00000646557,0.00001384215,0.0000209486,0.000003216283,0.0003312602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04094337,"threshold_uncertainty_score":0.4689457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009317883875871435,"score_gpt":0.2184234190244712,"score_spread":0.2091055351485998,"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."}}