{"id":"W7096231862","doi":"","title":"COMPARING 2D AND 3D INPUT DEVICES FOR 3D OBJECT MOVEMENT","year":2008,"lang":"en","type":"article","venue":"","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Object (grammar); Microform; Movement (music); The Internet; Distribution (mathematics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002086795,0.0009521088,0.0006267593,0.002054038,0.0004774052,0.003224074,0.001041686,0.001600147,0.0343792],"category_scores_gemma":[0.01911986,0.0006993748,0.0008106966,0.001629649,0.000733798,0.003401966,0.002837084,0.0006612902,0.006183647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004654825,"about_ca_system_score_gemma":0.0004407861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001731765,"about_ca_topic_score_gemma":0.001993034,"domain_scores_codex":[0.9980524,0.0006482139,0.0001063149,0.0002879769,0.0007311762,0.0001738966],"domain_scores_gemma":[0.9928101,0.005186445,0.0001586173,0.0005790755,0.001168855,0.00009691865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005314902,0.0002313794,0.01286728,0.002121276,0.0001806043,0.0005002759,0.002967322,0.01387015,0.1468333,0.01056041,0.01487669,0.7896764],"study_design_scores_gemma":[0.0009976884,0.003677124,0.1701813,0.00224624,0.0008934691,0.004258697,0.00759841,0.431892,0.2654079,0.01870809,0.09316735,0.0009717264],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4005144,0.003494005,0.5079105,0.001074594,0.001411011,0.0009161786,0.003935123,0.006661932,0.07408224],"genre_scores_gemma":[0.8341483,0.001751125,0.1472113,0.0004523891,0.000131749,0.0005356436,0.002581654,0.001361615,0.01182616],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0343792,"threshold_uncertainty_score":0.1150099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0522783476349788,"score_gpt":0.2309669304146947,"score_spread":0.1786885827797159,"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."}}