{"id":"W2985032863","doi":"10.1016/j.im.2019.103238","title":"Understanding users’ dynamic behavior in a free trial of IT services: A three-stage model","year":2019,"lang":"en","type":"article","venue":"Information & Management","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Science and Technology Support Plan for Youth Innovation of Colleges and Universities of Shandong Province of China; Natural Sciences and Engineering Research Council of Canada; Humanities and Social Science Fund of Ministry of Education of China; Yancheng Institute of Technology","keywords":"Mediation; Purchasing; Structural equation modeling; Willingness to pay; Context (archaeology); Quality (philosophy); Psychology; Marketing; Social psychology; Computer science; Microeconomics; Economics; Business","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":[0.001445081,0.0001228793,0.0002169237,0.001101849,0.00004749234,0.0001258117,0.0008888721,0.000124468,0.0003516448],"category_scores_gemma":[0.00003072309,0.0001101,0.00008792881,0.0007154465,0.00003949086,0.00184232,0.0003827177,0.0001414261,0.0003957075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001949435,"about_ca_system_score_gemma":0.00002319797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004067642,"about_ca_topic_score_gemma":0.0004876912,"domain_scores_codex":[0.9976655,0.00002852942,0.0009451714,0.0001794958,0.0009538861,0.0002274625],"domain_scores_gemma":[0.9985709,0.00004781644,0.0004258508,0.0008397748,0.00007849071,0.00003722565],"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":[0.01052812,0.001601462,0.08980909,0.000678018,0.0001597911,0.00004003492,0.01630127,0.1642409,0.00007779472,0.6124755,0.009090333,0.09499764],"study_design_scores_gemma":[0.05930326,0.0003231218,0.063782,0.0001603631,0.0000802463,0.000002784554,0.04331979,0.7418046,0.00001275822,0.08095522,0.009696454,0.0005594238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8869978,0.000007040433,0.09925212,0.001121425,0.0004792664,0.00150123,0.00004540496,0.00009226437,0.01050347],"genre_scores_gemma":[0.9958818,0.00001336328,0.001972797,0.0003305725,0.000002448968,0.00006975437,0.0000156321,0.000005480504,0.001708149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5775636,"threshold_uncertainty_score":0.5086152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1684014917566165,"score_gpt":0.3628167143094999,"score_spread":0.1944152225528834,"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."}}