{"id":"W4211194178","doi":"10.32920/ryerson.14657793","title":"User experience design for route creation","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Computer science; Order (exchange); Process (computing); Value (mathematics); Test (biology); Business; Operating system","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":[0.005307757,0.001020248,0.000422552,0.0009881778,0.0007396021,0.00342092,0.001578109,0.001204201,0.02360379],"category_scores_gemma":[0.01477127,0.0004174001,0.0007641405,0.0006525565,0.001228489,0.002694783,0.002743667,0.0009430961,0.002892894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009059665,"about_ca_system_score_gemma":0.0005948549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000701,"about_ca_topic_score_gemma":0.0009495649,"domain_scores_codex":[0.9958569,0.002881372,0.0001768186,0.0003303417,0.0005563333,0.0001982255],"domain_scores_gemma":[0.9871263,0.009038725,0.000302764,0.001488633,0.001489779,0.0005537975],"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":[0.003113352,0.001955805,0.009529068,0.006571067,0.0002011023,0.001449307,0.08745565,0.01259321,0.06077717,0.09105461,0.02180409,0.7034954],"study_design_scores_gemma":[0.001318121,0.00949906,0.02113715,0.002368564,0.0006106616,0.003718805,0.04316925,0.09036493,0.06722637,0.08282552,0.6771212,0.0006403183],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1782798,0.000876166,0.7453604,0.000890721,0.000254349,0.002699569,0.0007096786,0.005346429,0.06558299],"genre_scores_gemma":[0.5273429,0.0004891794,0.4475224,0.0003650006,0.00005477492,0.00415502,0.0006355071,0.0007480085,0.01868726],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02360379,"threshold_uncertainty_score":0.07896256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1232675307259879,"score_gpt":0.4255565546817726,"score_spread":0.3022890239557847,"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."}}