{"id":"W4252225461","doi":"10.1121/1.5035162.2","title":"10.1121/1.5035162.2","year":2018,"lang":"en","type":"dataset","venue":"Default Digital Object Group","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; Liber Ero Foundation; Mitacs","keywords":"Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001168499,0.003950906,0.002297282,0.003408818,0.001738783,0.005514954,0.005194641,0.003952588,0.5497588],"category_scores_gemma":[0.004432109,0.001269285,0.001517219,0.005654177,0.0008474434,0.003989782,0.004469878,0.002622526,0.8016247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001351381,"about_ca_system_score_gemma":0.001428268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008100551,"about_ca_topic_score_gemma":0.01182445,"domain_scores_codex":[0.9988974,0.000120053,0.0001142049,0.0003985886,0.000243507,0.0002261874],"domain_scores_gemma":[0.9987376,0.0001987284,0.0000790159,0.0004681149,0.0002753571,0.0002410735],"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":[0.00004968706,0.00002845041,0.0003753937,0.0002643796,0.00001148798,0.00001426365,0.000008776822,0.0001582166,0.0001341466,0.00023562,0.9932219,0.005497592],"study_design_scores_gemma":[0.0001657039,0.00002975462,0.002071933,0.0002282511,0.00002172833,0.0001053792,0.00005617484,0.001041759,0.0004886945,0.001678504,0.994083,0.00002909497],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002701155,0.0004138599,0.0004839331,0.0004309799,0.0003533489,0.00003996992,0.9867494,0.004080703,0.007177699],"genre_scores_gemma":[0.0006823851,0.0002264584,0.0005133061,0.000114017,0.0000517716,0.0001024743,0.9922764,0.0002350969,0.00579826],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4502412,"threshold_uncertainty_score":0.6422144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009729516250876848,"score_gpt":0.2333777299880072,"score_spread":0.2236482137371303,"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."}}