{"id":"W4248729299","doi":"10.17747/teds-2020","title":"PROCEEDINGS OF THE III INTERNATIONAL CONFERENCE ON TECHNOLOGY &amp; ENTREPRENEURSHIP  IN DIGITAL SOCIETY","year":2021,"lang":"en","type":"paratext","venue":"","topic":"Business and Economic Development","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Entrepreneurship; Political science; Engineering ethics; Computer science; Library science; Engineering; Law","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":[0.0017518,0.0004802791,0.0004582266,0.001041429,0.001315177,0.007589144,0.0007217843,0.001363949,0.082896],"category_scores_gemma":[0.002141362,0.0001191771,0.0002972367,0.0012489,0.001127365,0.003054307,0.002439416,0.001845323,0.02163323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002840611,"about_ca_system_score_gemma":0.003935632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006033788,"about_ca_topic_score_gemma":0.01544924,"domain_scores_codex":[0.9992182,0.0002277143,0.00002569072,0.00008720889,0.0002944367,0.0001466526],"domain_scores_gemma":[0.9985549,0.0003390525,0.00004478608,0.0001107416,0.0003949259,0.0005556206],"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":[0.0001190607,0.00009899673,0.0009285021,0.0001987154,0.000009278768,0.0001141914,0.0007359788,0.000203942,0.0005934474,0.01662094,0.8732635,0.1071135],"study_design_scores_gemma":[0.000004672762,0.00001330018,0.001096633,0.0001225492,0.000004316109,0.00003385209,0.000418847,0.000192727,0.0003290651,0.001702913,0.9960765,0.000004634197],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01154697,0.02733388,0.01007443,0.05499052,0.03966462,0.0002282748,0.002216227,0.0005358484,0.8534093],"genre_scores_gemma":[0.05211392,0.01491075,0.002322841,0.001698755,0.003364408,0.0001541384,0.00251724,0.0002851557,0.9226329],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.082896,"threshold_uncertainty_score":0.2773147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02044367091478732,"score_gpt":0.2220089721825806,"score_spread":0.2015653012677933,"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."}}