{"id":"W7067458503","doi":"","title":"Metis 2018 (planner abstract)","year":2018,"lang":"en","type":"other","venue":"edoc (University of Basel)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metis; Pruning; Heuristic; Planner; Order (exchange)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000217242,0.0003751926,0.0005861652,0.0008245782,0.0001153339,0.00001310406,0.0008148421,0.0005276997,0.2171997],"category_scores_gemma":[0.00002521968,0.0004897299,0.0002613988,0.0003557184,0.0006435502,0.0001589779,0.0002145277,0.000241204,0.1178722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001500424,"about_ca_system_score_gemma":0.0001441477,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006978261,"about_ca_topic_score_gemma":0.004541412,"domain_scores_codex":[0.9983073,0.00007463059,0.0001279593,0.0005684265,0.0005203264,0.0004013639],"domain_scores_gemma":[0.9982042,0.00005299616,0.0005634518,0.0008674531,0.0001015916,0.0002103093],"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":[0.00006224513,0.000110757,0.0001102535,0.00009433852,0.0002899819,0.000136755,0.0002163437,6.426199e-7,0.0002200031,0.0001016278,0.9980654,0.0005917089],"study_design_scores_gemma":[0.0006640347,0.00007549723,0.0008359889,0.000267145,0.0002360043,0.000007150391,0.0005988043,0.00001320689,0.00005272065,0.00003631975,0.9967261,0.0004870219],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006675226,0.0002505631,0.0001877068,0.0001098722,0.0006400014,0.0002887284,0.001894192,0.0005297373,0.9954317],"genre_scores_gemma":[0.00117517,0.00007055134,0.004576895,0.00002709081,0.0005129678,1.469542e-7,0.0003280253,0.0006498256,0.9926593],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09932754,"threshold_uncertainty_score":0.9997554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01286779121690454,"score_gpt":0.1978956384933239,"score_spread":0.1850278472764194,"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."}}