{"id":"W4361005410","doi":"10.3390/iot4020005","title":"Evaluating Consumer Behavior, Decision Making, Risks, and Challenges for Buying an IoT Product","year":2023,"lang":"en","type":"article","venue":"IoT","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Mitacs","keywords":"Product (mathematics); Warranty; Software; Preference; Business; Smart device; Computer science; Internet privacy; Internet of Things; Willingness to pay; Marketing; Advertising; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.006421291,0.0003766445,0.0003064677,0.0009820997,0.0008682896,0.002571268,0.0003623461,0.001178133,0.002126564],"category_scores_gemma":[0.02220777,0.0003623765,0.0009333209,0.0006859383,0.0007604318,0.001847443,0.0006828607,0.0009283362,0.0003403763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001242111,"about_ca_system_score_gemma":0.0008530279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005179801,"about_ca_topic_score_gemma":0.008885756,"domain_scores_codex":[0.9969187,0.001650503,0.0002561421,0.0001719007,0.0007735433,0.0002292456],"domain_scores_gemma":[0.9817923,0.01008779,0.004402691,0.0005099178,0.001942386,0.001264938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007604264,0.001341736,0.9494347,0.0002173916,0.0002220249,0.0003786962,0.01299797,0.001428664,0.002492396,0.0008451196,0.0005228709,0.02935791],"study_design_scores_gemma":[0.00008133984,0.001570923,0.924038,0.0001420338,0.0002077494,0.0003361274,0.04742597,0.01941825,0.001856431,0.002039941,0.002711098,0.0001721505],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979833,0.00005539008,0.0003289479,0.0001266105,0.000002332815,0.00004396433,0.0000241003,0.000004327057,0.00143086],"genre_scores_gemma":[0.9980578,0.00007949236,0.001427653,0.0000487876,0.000003670645,0.00002994115,0.00006850469,0.000002212347,0.0002819432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006421291,"threshold_uncertainty_score":0.03395945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6590241673501064,"score_gpt":0.5620289818321567,"score_spread":0.09699518551794972,"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."}}