{"id":"W6981730946","doi":"","title":"Examining individual differences in sensory motor calibration and alignment processes","year":2021,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Archaeology and ancient environmental studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Calibration; Sensory system; Perception; Motor control; Process (computing)","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":[0.0006860031,0.0001866987,0.0002223042,0.0003844161,0.0001586547,0.001129215,0.0001712512,0.0003431351,0.007987156],"category_scores_gemma":[0.00927958,0.0001801857,0.0001173838,0.0004386904,0.0002289878,0.0004417443,0.0004433996,0.000364995,0.0007976286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001246608,"about_ca_system_score_gemma":0.0001937038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001895968,"about_ca_topic_score_gemma":0.003511088,"domain_scores_codex":[0.9996642,0.00006046811,0.00002261895,0.0001437792,0.00006560259,0.00004341636],"domain_scores_gemma":[0.9971626,0.00169056,0.0003862611,0.0003130784,0.0002715803,0.0001758213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002876611,0.0007843612,0.594566,0.0002938247,0.0006190079,0.0004006885,0.01265878,0.002780038,0.1068137,0.002545093,0.00361577,0.2720461],"study_design_scores_gemma":[0.00001669111,0.0002448069,0.9937756,0.00001474095,0.00005829804,0.0001477409,0.0009391221,0.001296869,0.001790371,0.0005788915,0.001118523,0.00001831021],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949779,0.00005894868,0.0006470965,0.00002836838,0.00001336109,0.00001635129,0.0001736783,0.00001041932,0.004073801],"genre_scores_gemma":[0.9958715,0.00006711997,0.0007837876,0.00002473363,0.000005351155,0.00002246985,0.0002259681,0.00002147813,0.002977546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007987156,"threshold_uncertainty_score":0.02671963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04017781822818987,"score_gpt":0.2517581823020887,"score_spread":0.2115803640738988,"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."}}