{"id":"W6979764964","doi":"","title":"Adoption + Adaptation In Performance Cycling","year":2019,"lang":"en","type":"article","venue":"Arca (British Columbia Electronic Library Network)","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Frame (networking); Filter (signal processing); Point (geometry); Work (physics); Staring; Perspective (graphical)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002867668,0.0001361365,0.0002294364,0.0001245065,0.0001730413,0.00070033,0.0007682039,0.00017307,0.005894564],"category_scores_gemma":[0.00001106823,0.0002602802,0.00005503667,0.001431101,0.0000434256,0.004992319,0.0002432557,0.0007974034,0.0001713659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001985288,"about_ca_system_score_gemma":0.0002302989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003824763,"about_ca_topic_score_gemma":0.005374157,"domain_scores_codex":[0.9977148,0.0001149908,0.0004363463,0.0006131546,0.0002285375,0.000892217],"domain_scores_gemma":[0.9991833,0.00008045093,0.0001943008,0.0004572589,0.00004787326,0.00003684248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004025641,0.0002216834,0.1250639,0.00005329101,0.00005212578,0.00004972917,0.0002240516,0.01133213,0.00006339847,0.5417483,0.0108156,0.3103356],"study_design_scores_gemma":[0.001477388,0.0008878055,0.03583437,0.0005156418,0.000006569065,0.0002467745,0.0000500378,0.5457602,0.0002163076,0.398232,0.01604081,0.0007321382],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9144524,0.0005308997,0.002018085,0.0003996257,0.001016205,0.0007328778,0.00000117309,0.0008597651,0.07998901],"genre_scores_gemma":[0.9913169,0.0003553494,0.004616458,0.0005971761,0.0001870288,0.0000798689,0.00004288095,0.00003287796,0.002771482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5344281,"threshold_uncertainty_score":0.9999849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005089777574162909,"score_gpt":0.1776377674846396,"score_spread":0.1725479899104767,"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."}}