{"id":"W3200038719","doi":"10.33137/cpoj.v4i2.37250","title":"EXOSEKETONS: A REHAB TECH CONSUMER’S UNEXPECTED MARCH TO ACTION","year":2021,"lang":"en","type":"article","venue":"Canadian Prosthetics & Orthotics Journal","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Anglo American (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Action (physics); Business; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004452382,0.0001983615,0.0002165825,0.0004881116,0.0007115187,0.0005943175,0.0008589421,0.0001484316,0.0000854164],"category_scores_gemma":[0.0002676383,0.0002211302,0.0001057168,0.001514387,0.00008445897,0.0002197791,0.0001637182,0.0007101444,0.0001786005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007511711,"about_ca_system_score_gemma":0.003775354,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001023474,"about_ca_topic_score_gemma":0.03846533,"domain_scores_codex":[0.9977688,0.000157184,0.0004703525,0.0004423111,0.0004534599,0.0007079423],"domain_scores_gemma":[0.9965144,0.00007001236,0.0001503883,0.0009666855,0.0008465612,0.001451957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004418544,0.0009438982,0.009994368,0.0001334347,0.000566308,0.005810088,0.007030946,0.004185671,0.03853767,0.4071617,0.1114751,0.4141167],"study_design_scores_gemma":[0.0009481824,0.0002457137,0.008428915,0.0002070821,0.00009103162,0.01155562,0.0008654113,0.01006711,0.01068594,0.01812122,0.9376939,0.001089867],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04288583,0.0007642859,0.8689867,0.07975917,0.001478667,0.00106267,0.0001196114,0.0002403952,0.0047027],"genre_scores_gemma":[0.8437299,0.0003908121,0.1477371,0.004777966,0.0002551414,0.00008952621,0.0000457906,0.00007891739,0.002894827],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8262188,"threshold_uncertainty_score":0.9790802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03279100780203607,"score_gpt":0.2907230272585102,"score_spread":0.2579320194564741,"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."}}