{"id":"W4394426035","doi":"10.6084/m9.figshare.24223272","title":"Digital Technology Use and Future Expectations","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"ICT Impact and Policies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Business","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":[0.002043227,0.0002938624,0.0003393741,0.003033362,0.0007040241,0.003967247,0.0008978611,0.0006610703,0.02325242],"category_scores_gemma":[0.0215707,0.0003012024,0.0006243979,0.008933213,0.0004294432,0.003485762,0.001714366,0.001630751,0.007239158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002613797,"about_ca_system_score_gemma":0.001742834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07569785,"about_ca_topic_score_gemma":0.05137144,"domain_scores_codex":[0.9983045,0.0004138631,0.0003026446,0.0002815655,0.0004285522,0.0002688918],"domain_scores_gemma":[0.9910363,0.00385408,0.001350661,0.001062085,0.002098587,0.0005983065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002757536,0.0001127533,0.3449209,0.001562636,0.00009979391,0.0002139793,0.002619976,0.005728836,0.0001227514,0.02611142,0.5606074,0.0576237],"study_design_scores_gemma":[0.00006040468,0.00004356357,0.2513572,0.000857186,0.00003353112,0.0002298865,0.005426673,0.003150668,0.000308101,0.008091616,0.7303644,0.00007665284],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.05337171,0.0008062612,0.000897821,0.003198212,0.00008513976,0.00007924236,0.9052682,0.0002208084,0.03607256],"genre_scores_gemma":[0.1809792,0.00130692,0.001594463,0.0005888011,0.00003650456,0.000519009,0.8086021,0.0001195362,0.006253453],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07569785,"threshold_uncertainty_score":0.1505145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02306094771585881,"score_gpt":0.2468043865184006,"score_spread":0.2237434388025417,"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."}}