{"id":"W7097320219","doi":"","title":"Organizers","year":2008,"lang":"en","type":"article","venue":"","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conjunction (astronomy); Advice (programming); Reinforcement learning; Statistical relational learning; Advisory committee","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006705267,0.001803335,0.001723128,0.006686669,0.003041563,0.01083517,0.003788015,0.00335032,0.501285],"category_scores_gemma":[0.01448487,0.0007492682,0.001621875,0.005146816,0.0008530937,0.005403124,0.005510875,0.003142709,0.4180351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003858546,"about_ca_system_score_gemma":0.004218706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002391311,"about_ca_topic_score_gemma":0.004251336,"domain_scores_codex":[0.9948276,0.0007510185,0.0004472902,0.001108091,0.002052592,0.0008133428],"domain_scores_gemma":[0.9838087,0.0009377285,0.0007657865,0.001746571,0.006858207,0.005882889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006109939,0.00001818334,0.0001351041,0.0001495537,0.000006091492,0.00004104547,0.00005569575,0.00005167478,0.0002351987,0.00294485,0.9613311,0.03497034],"study_design_scores_gemma":[0.000009636711,0.00001615603,0.0002809302,0.00007343724,0.000003598192,0.00003579186,0.00008362925,0.00003160914,0.00008304272,0.001023466,0.9983525,0.000006071235],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002496192,0.02034259,0.01036326,0.07404403,0.3067068,0.002295547,0.03040475,0.004766308,0.5485805],"genre_scores_gemma":[0.0100387,0.00770912,0.004474627,0.009967774,0.04289337,0.001385628,0.02559333,0.002639747,0.8952977],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.498715,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03186988014796521,"score_gpt":0.2143677469324757,"score_spread":0.1824978667845104,"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."}}