{"id":"W3022247802","doi":"10.1142/s0218195919500092","title":"The Most Likely Object to be Seen Through a Window","year":2019,"lang":"en","type":"article","venue":"International Journal of Computational Geometry & Applications","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Mathematics; Combinatorics; Interval (graph theory)","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":[0.0004776811,0.000159676,0.0001890355,0.0002942984,0.0002447211,0.0005086326,0.002828255,0.00005104441,0.00004889451],"category_scores_gemma":[0.000059972,0.0001198041,0.0001422426,0.0009002766,0.00004860986,0.000909143,0.0005118466,0.0002660324,0.0002516961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001280288,"about_ca_system_score_gemma":0.0003135011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001475083,"about_ca_topic_score_gemma":0.000002089202,"domain_scores_codex":[0.9974155,0.00005641733,0.0006468256,0.0002891825,0.001376446,0.0002155795],"domain_scores_gemma":[0.9965758,0.0008130662,0.0004888673,0.0004063417,0.001576271,0.0001396566],"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":[0.0001356565,0.0005464199,0.002190212,0.00001505027,0.0006233688,0.00002721363,0.0008065109,0.1755265,0.000851276,0.4678875,0.02280396,0.3285864],"study_design_scores_gemma":[0.000787074,0.000160476,0.01095464,0.00004432295,0.00001345891,0.0003097668,0.00009249456,0.0167795,0.0002703406,0.0691415,0.9011942,0.0002522336],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006267678,0.000305656,0.9795555,0.01108691,0.0008314198,0.0004177965,0.00005363519,0.00003874226,0.001442675],"genre_scores_gemma":[0.6315614,0.0001237061,0.3593069,0.006469647,0.00141183,0.0001314749,0.00009109691,0.00003111549,0.0008728347],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8783903,"threshold_uncertainty_score":0.5255649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01278905434978944,"score_gpt":0.2947066355962634,"score_spread":0.281917581246474,"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."}}