{"id":"W4311435706","doi":"10.36227/techrxiv.21699764","title":"Developing a Social Platform using MERN Stack","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Ministère de l'Énergie et des Ressources Naturelles; Lakehead University","keywords":"World Wide Web; Variety (cybernetics); Social media; Computer science; Stack (abstract data type); Key (lock); The Internet; Digital content; Multimedia; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001384803,0.0003856918,0.000658599,0.0002323774,0.004267177,0.00002664471,0.0006908755,0.0009434744,0.01992144],"category_scores_gemma":[0.0002845572,0.0003966412,0.0001872678,0.000287156,0.00007936391,0.0001046161,0.004221709,0.004869594,0.0008604515],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004056233,"about_ca_system_score_gemma":0.006389218,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02280055,"about_ca_topic_score_gemma":0.004924101,"domain_scores_codex":[0.9953586,0.0006160711,0.001506343,0.0007354197,0.0006747321,0.001108794],"domain_scores_gemma":[0.9975507,0.0005815607,0.0007624745,0.0005317137,0.0004170716,0.0001565281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005013546,0.0002032266,0.2351732,0.01589769,0.0005877991,0.0001853967,0.2069351,0.00369185,0.0001907112,0.4549707,0.04622896,0.035434],"study_design_scores_gemma":[0.0004345924,0.0001055689,0.004552619,0.002336323,0.0001922036,0.000006252481,0.3649383,0.05364678,0.0003568322,0.2633027,0.306618,0.003509686],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9128739,0.0002682827,0.01637553,0.006408052,0.01159323,0.003956409,0.0002597819,0.0008107856,0.047454],"genre_scores_gemma":[0.9173722,0.0002381466,0.04177488,0.01239144,0.00693009,0.001902145,0.0006008829,0.0004448239,0.01834539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2603891,"threshold_uncertainty_score":0.9999175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6753057540520693,"score_gpt":0.6071993411615622,"score_spread":0.06810641289050712,"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."}}