{"id":"W4406899378","doi":"10.2196/preprints.70638","title":"Smart Home User Perception in Canada: National Cross-Sectional Survey (Preprint)","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Cross-sectional study; Perception; Psychology; Geography; Computer science; Medicine; World Wide Web","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":[0.001851867,0.0002225967,0.0004711485,0.001534137,0.003881351,0.001849833,0.0009206355,0.0004577562,0.005700104],"category_scores_gemma":[0.004809768,0.0004200455,0.0005884573,0.005667073,0.0009013037,0.0008848888,0.001160973,0.0009152649,0.0007687261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03326792,"about_ca_system_score_gemma":0.0607881,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.99554,"about_ca_topic_score_gemma":0.9963006,"domain_scores_codex":[0.9984362,0.00008386084,0.0001351259,0.0001782959,0.0007362072,0.0004304394],"domain_scores_gemma":[0.9938736,0.0004120693,0.0005344059,0.0001248034,0.004014296,0.00104085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008082339,0.00007907372,0.9499741,0.0003338523,0.00003901913,0.0001063881,0.01324701,0.00007050658,0.0002305709,0.000368013,0.02360482,0.01186589],"study_design_scores_gemma":[0.000005695262,0.00003452598,0.9741274,0.0001566148,0.00001393133,0.00004231357,0.01722925,0.0001307278,0.00008769841,0.00002811193,0.008120929,0.00002285565],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.931446,0.0009574193,0.0003146998,0.003202693,0.00006980712,0.0003498928,0.05258502,0.00005251664,0.01102202],"genre_scores_gemma":[0.9805676,0.001257551,0.0006828501,0.001671888,0.00001644449,0.0002390541,0.01026992,0.00002713708,0.005267521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03326792,"threshold_uncertainty_score":0.2413768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0494193172730968,"score_gpt":0.3440209072154338,"score_spread":0.294601589942337,"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."}}