{"id":"W2104291768","doi":"","title":"Randomized Experimental Design for Causal Graph Discovery","year":2014,"lang":"en","type":"article","venue":"Neural Information Processing Systems","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Logarithm; Graph; Computer science; Complement (music); Comparability graph; Mathematics; Theoretical computer science; Combinatorics; Discrete mathematics; Line graph; Pathwidth","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":[0.06354827,0.002339874,0.002388628,0.001804619,0.001447397,0.002680254,0.00581638,0.00339638,0.006751266],"category_scores_gemma":[0.2350231,0.001728572,0.001319352,0.001599739,0.007304707,0.006720442,0.003669922,0.004554027,0.0007748883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004189415,"about_ca_system_score_gemma":0.004874994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005570984,"about_ca_topic_score_gemma":0.000673999,"domain_scores_codex":[0.9295598,0.05498957,0.001781569,0.007361696,0.005001631,0.0013058],"domain_scores_gemma":[0.5541024,0.374286,0.0244319,0.03959377,0.005193719,0.002392332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004705019,0.001332657,0.006379976,0.001625479,0.0006513781,0.0002464727,0.0003220583,0.3247532,0.009128816,0.5712788,0.002866557,0.07670959],"study_design_scores_gemma":[0.001124571,0.002150882,0.0007583995,0.00009681589,0.0001730626,0.0001171608,0.00005637465,0.5214301,0.004507274,0.4665971,0.002916583,0.00007176928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01168027,0.0002018998,0.9838752,0.0007888148,0.00008679686,0.00122282,0.0001714385,0.0003066581,0.001666153],"genre_scores_gemma":[0.3860384,0.0003793767,0.6043751,0.0005920501,0.0002171021,0.007040646,0.000262912,0.00009427972,0.0009999968],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06354827,"threshold_uncertainty_score":0.3360795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02042628929663891,"score_gpt":0.2727784671030319,"score_spread":0.252352177806393,"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."}}