{"id":"W4248603369","doi":"10.3410/f.1115488.571518","title":"Faculty Opinions recommendation of Lifting a familiar object: visual size analysis, not memory for object weight, scales lift force.","year":2008,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Science Education and Perceptions","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Lift (data mining); Object (grammar); Computer science; Research Object; Psychology; Artificial intelligence; Geography; Data mining","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001609771,0.004073914,0.00178257,0.003178684,0.0008122165,0.002596917,0.004193014,0.002786205,0.06048835],"category_scores_gemma":[0.009223308,0.0008979086,0.002352791,0.003511602,0.0004494722,0.00141509,0.00187552,0.002195096,0.1080429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00142774,"about_ca_system_score_gemma":0.002405552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0326907,"about_ca_topic_score_gemma":0.08138378,"domain_scores_codex":[0.9989141,0.0001490809,0.0001297813,0.0003237173,0.0002940797,0.0001891784],"domain_scores_gemma":[0.9966891,0.0006305808,0.0002543645,0.001029985,0.001029426,0.000366556],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000117519,0.00006613947,0.001503219,0.000352459,0.00003525938,0.00001299624,0.00001012389,0.0001511906,0.0001069689,0.0000854653,0.9935703,0.003988365],"study_design_scores_gemma":[0.001106354,0.00008404505,0.02704521,0.0004369956,0.000170568,0.000135372,0.0001378383,0.003874852,0.001651314,0.001362584,0.963905,0.00008982131],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000599068,0.00007379231,0.0001368607,0.000174678,0.0001002616,0.00004810764,0.9968565,0.0008220176,0.001188659],"genre_scores_gemma":[0.0009800555,0.00004775974,0.0004773768,0.00005974814,0.0000192038,0.000130847,0.9964833,0.00005916751,0.00174242],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9983903,"threshold_uncertainty_score":0.2023537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0519988433579887,"score_gpt":0.4197107475159649,"score_spread":0.3677119041579762,"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."}}