{"id":"W3199836852","doi":"10.2196/32446","title":"The Significance of Alliance Networks in Research and Development of Digital Health Products for Diabetes: Observational Study","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Centrality; Betweenness centrality; Business; Alliance; Industrial organization; Marketing; Knowledge management; Computer science; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004594869,0.00005444213,0.0001187763,0.00002465673,0.00003995518,0.0000180787,0.0000737849,0.00002414123,6.533224e-7],"category_scores_gemma":[0.0001160516,0.00004437547,0.000007087284,0.0003207088,0.0000506055,0.00005408873,0.0000220423,0.00008613136,2.129561e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003618354,"about_ca_system_score_gemma":0.0001112545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.794941e-7,"about_ca_topic_score_gemma":0.000007641775,"domain_scores_codex":[0.9992781,0.00001400468,0.0002388276,0.0001122661,0.0001430374,0.0002137374],"domain_scores_gemma":[0.99941,0.0003109143,0.00002303158,0.00010352,0.0001219308,0.00003060653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001617578,0.001346157,0.7920245,0.007401114,0.000205344,3.56793e-7,0.006282686,0.009201746,0.01089425,0.0003834183,0.006995174,0.165249],"study_design_scores_gemma":[0.0003647439,0.0001606888,0.962275,0.0002815426,0.000001464122,3.207223e-8,0.0006856983,0.01837011,0.01016584,0.0003067167,0.007254506,0.0001336338],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967893,0.00190002,0.0001344765,0.0005630733,0.0001172127,0.0004685102,0.000006418462,0.00001425383,0.000006698817],"genre_scores_gemma":[0.9984688,0.00003384646,0.00099492,0.000006090112,0.00004669599,0.0003830144,0.00002270784,0.00000910505,0.00003478008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1702505,"threshold_uncertainty_score":0.1809579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1407869935671394,"score_gpt":0.3505992586126519,"score_spread":0.2098122650455125,"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."}}