{"id":"W4210879057","doi":"10.3410/f.1115488.14573069","title":"Faculty Opinions recommendation of Lifting a familiar object: visual size analysis, not memory for object weight, scales lift force.","year":2011,"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":"Western University","funders":"","keywords":"Lift (data mining); Object (grammar); Psychology; Cognitive psychology; Computer science; Artificial intelligence; 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":[],"consensus_categories":[],"category_scores_codex":[0.001457389,0.004178578,0.001831477,0.003014227,0.0009335904,0.002922013,0.003985666,0.003302529,0.05828868],"category_scores_gemma":[0.009512826,0.0009311971,0.00257852,0.00361513,0.0005126438,0.001586696,0.002118547,0.002245589,0.1057842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001555338,"about_ca_system_score_gemma":0.002493926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03270636,"about_ca_topic_score_gemma":0.09336029,"domain_scores_codex":[0.998916,0.0001513358,0.0001316667,0.0003483702,0.0002661785,0.0001864178],"domain_scores_gemma":[0.9969999,0.0006178849,0.0002683876,0.0008722603,0.000866793,0.0003747818],"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":[0.0001310415,0.00005996482,0.001934246,0.0005374714,0.00004917611,0.00001602974,0.00001356545,0.0001710232,0.0001160735,0.000105211,0.9931633,0.003702787],"study_design_scores_gemma":[0.001045248,0.00007999064,0.02561385,0.0005839284,0.0001883024,0.000156235,0.0001549169,0.002846105,0.001291501,0.00153458,0.9664122,0.00009301989],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005278318,0.0001175471,0.0001150059,0.0001808484,0.00009753343,0.00004279723,0.9972563,0.0006357508,0.001026329],"genre_scores_gemma":[0.0009989939,0.00007006944,0.0004217813,0.00007958998,0.00002142791,0.0001266343,0.9967249,0.00005614399,0.001500443],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05828868,"threshold_uncertainty_score":0.194995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05980952978857699,"score_gpt":0.4195196278779961,"score_spread":0.3597100980894191,"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."}}