{"id":"W4401691522","doi":"10.2139/ssrn.4929523","title":"Technology Adoption and Career Concerns: Evidence from the Adoption of Digital Technology in Motion Pictures","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Motion (physics); Business; Multimedia; Psychology; Computer science; Computer vision","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002952374,0.0002018136,0.0002572263,0.002139158,0.001395028,0.001423874,0.0006405865,0.001297913,0.008004282],"category_scores_gemma":[0.02525683,0.0003748842,0.0003060837,0.002579271,0.000876519,0.001300637,0.001415916,0.001583646,0.000647659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001021824,"about_ca_system_score_gemma":0.001283346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02770401,"about_ca_topic_score_gemma":0.04511182,"domain_scores_codex":[0.9981552,0.0008295029,0.00008921688,0.0001336854,0.0005409907,0.000251304],"domain_scores_gemma":[0.9656966,0.01948894,0.01017691,0.0007780567,0.002033888,0.001825468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000569837,0.001103536,0.9536824,0.0001839232,0.00009228,0.0003646445,0.01424014,0.00005855619,0.0004956727,0.0005347477,0.0006774529,0.02799675],"study_design_scores_gemma":[0.00002029352,0.0003119899,0.9877857,0.00006080784,0.00004468709,0.0001036346,0.009961795,0.000103878,0.000152284,0.00008550837,0.001360019,0.000009425159],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968413,0.000300809,0.00004492592,0.0002679153,0.000003651488,0.00001942707,0.00008097555,0.000001234604,0.002439793],"genre_scores_gemma":[0.9980153,0.0006199066,0.00008597563,0.0001365581,0.000008982787,0.00001635955,0.000109253,0.000002645772,0.001004977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02770401,"threshold_uncertainty_score":0.05508548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05880546294065554,"score_gpt":0.3448771532111454,"score_spread":0.2860716902704898,"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."}}