{"id":"W1876603688","doi":"10.48550/arxiv.1406.3010","title":"\"Mental Rotation\" by Optimizing Transforming Distance","year":2014,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Rotation (mathematics); Mental rotation; Computer science; Psychology; Computer vision","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000999583,0.0009257716,0.001057532,0.0006540262,0.0004236028,0.001176375,0.001697066,0.001157966,0.003900688],"category_scores_gemma":[0.004035376,0.0004232623,0.0008390117,0.0007563229,0.001318544,0.00244802,0.002021697,0.001299023,0.0009620811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008833404,"about_ca_system_score_gemma":0.001169467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003118613,"about_ca_topic_score_gemma":0.003952014,"domain_scores_codex":[0.9992872,0.0001719992,0.00003571593,0.000264374,0.0001585716,0.00008215795],"domain_scores_gemma":[0.9991286,0.0003031681,0.0001031996,0.0002832096,0.0001083123,0.00007356088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004449647,0.0002859518,0.002262571,0.0001731787,0.0001107504,0.0001144591,0.000321877,0.4759946,0.02486527,0.05580453,0.006939276,0.4326826],"study_design_scores_gemma":[0.00003675302,0.00009350906,0.0002516353,0.000008763533,0.0000200259,0.00005257237,0.00005321532,0.9712647,0.003492673,0.02346823,0.001243615,0.00001424436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1281092,0.0003214126,0.8642038,0.0005941956,0.00005455384,0.00008456411,0.0001236456,0.001499198,0.005009463],"genre_scores_gemma":[0.7065578,0.0002108318,0.2878046,0.0002507981,0.00005360127,0.000138471,0.0005452068,0.0003672902,0.004071449],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003900688,"threshold_uncertainty_score":0.01304907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04041486037819872,"score_gpt":0.191063899289036,"score_spread":0.1506490389108373,"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."}}