{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004317834,0.0001631538,0.000259634,0.000485722,0.0003876423,0.0001564758,0.0004914487,0.0001599247,0.0001119781],"category_scores_gemma":[0.003739026,0.0001315511,0.00006701542,0.000494912,0.0001344203,0.0001235853,0.0002108689,0.0001846016,0.0002025991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002080028,"about_ca_system_score_gemma":0.00004314196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001001378,"about_ca_topic_score_gemma":0.00008083392,"domain_scores_codex":[0.9974769,0.0001322257,0.0004781039,0.0008157307,0.0007567176,0.0003403003],"domain_scores_gemma":[0.9977457,0.0009440347,0.0001944263,0.0007360554,0.0002926965,0.00008709195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00003169369,0.00005229896,0.07020571,0.000005050913,0.000004392704,0.000008645885,0.0004223684,0.00002987746,0.001028303,0.0005137505,0.0006901525,0.9270077],"study_design_scores_gemma":[0.0007913889,0.0002594446,0.9604132,0.00005817012,0.00005460251,0.00003814264,0.001775557,0.004476536,0.0004742291,0.01574204,0.01562367,0.0002930179],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952791,0.001649507,0.0003825391,0.001121958,0.0005655233,0.0005385626,0.00002513953,0.0003820347,0.00005568719],"genre_scores_gemma":[0.9828693,0.0001945775,0.01634474,0.00006566546,0.00007645522,0.0001303812,0.000003447748,0.0000240209,0.0002914151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9267147,"threshold_uncertainty_score":0.5364497,"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."}}