{"id":"W2810396831","doi":"10.4230/lipics.aofa.2018.4","title":"Bootstrap Percolation and Galton-Watson Trees (Keynote Speakers)","year":2018,"lang":"en","type":"article","venue":"DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)","topic":"Stochastic processes and statistical mechanics","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Percolation (cognitive psychology); Mathematics; Statistics; Watson; Econometrics; Computer science; Artificial intelligence; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005205903,0.0004206052,0.0005191766,0.0001727498,0.0004258042,0.0002649731,0.000331562,0.0002668973,0.0001592058],"category_scores_gemma":[0.0008596595,0.0003659446,0.0001367291,0.0002088339,0.0002206462,0.0006706808,0.0001698926,0.0003077351,0.0001148473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008569638,"about_ca_system_score_gemma":0.00006438824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001155229,"about_ca_topic_score_gemma":0.00007186665,"domain_scores_codex":[0.9974497,0.00002420501,0.001033912,0.0002970402,0.0004846478,0.0007104887],"domain_scores_gemma":[0.9979602,0.0005080855,0.0003811208,0.0004625711,0.0004098445,0.0002782251],"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":[0.001102409,0.0007945443,0.001511876,0.003711005,0.000492606,0.00001314702,0.03028365,0.000008527883,0.0005754784,0.8775727,0.01950226,0.06443178],"study_design_scores_gemma":[0.0104783,0.003558647,0.002332003,0.00105274,0.0006185377,0.0003088425,0.007792451,0.3524948,0.003262239,0.5461988,0.06946278,0.002439876],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1680505,0.00004828617,0.8226857,0.0002825066,0.0007377174,0.001293514,0.0006615597,0.0002329232,0.006007329],"genre_scores_gemma":[0.9154006,0.00003814735,0.0828293,0.0005196073,0.0004563574,0.00008646511,0.0001500561,0.00007890047,0.0004405697],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7473501,"threshold_uncertainty_score":0.9998792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06048173084340924,"score_gpt":0.3462339176110378,"score_spread":0.2857521867676285,"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."}}