{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005592584,0.0002569719,0.0005521523,0.002409894,0.001350404,0.001599207,0.0008788456,0.0008919521,0.003812498],"category_scores_gemma":[0.02489506,0.0004109902,0.001159243,0.004453355,0.0005125311,0.002316473,0.001976619,0.001933479,0.000460898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001050216,"about_ca_system_score_gemma":0.002005576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008710578,"about_ca_topic_score_gemma":0.01000533,"domain_scores_codex":[0.9955852,0.001763315,0.0007027535,0.0006714395,0.0007389354,0.0005383997],"domain_scores_gemma":[0.9731855,0.009362915,0.0116411,0.001345805,0.001822807,0.002641913],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006586967,0.0001153835,0.996645,0.00007169259,0.00009924611,0.00005931237,0.0004876002,0.00005515819,0.00002463681,0.0001228546,0.0003075781,0.001945634],"study_design_scores_gemma":[0.00002768004,0.0002089898,0.9912226,0.0001206112,0.0002445439,0.000489413,0.004490393,0.0009693191,0.00006620456,0.0003288442,0.001810574,0.00002074375],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944928,0.00148435,0.0006332491,0.0003424452,0.00001988769,0.0001044683,0.001252801,0.000007270046,0.001662746],"genre_scores_gemma":[0.9979214,0.0004752958,0.0005164531,0.00006772155,0.00002269887,0.0001085577,0.0005993652,0.000004472035,0.000283993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9944074,"threshold_uncertainty_score":0.02957678,"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."}}