{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002321617,0.0005930922,0.000471207,0.0008990441,0.001204188,0.00331945,0.001390365,0.001091187,0.01067344],"category_scores_gemma":[0.002738062,0.00069213,0.001031403,0.0004081957,0.0006211962,0.004694665,0.004136547,0.0013602,0.006686758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001034974,"about_ca_system_score_gemma":0.001999703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003747248,"about_ca_topic_score_gemma":0.006522398,"domain_scores_codex":[0.9986264,0.000216003,0.00009248484,0.0002387492,0.0006441337,0.0001822809],"domain_scores_gemma":[0.999072,0.0001630194,0.00004874188,0.0002616581,0.0002602066,0.0001944211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000865236,0.00126105,0.007887943,0.001004853,0.000210627,0.002047098,0.004235763,0.01209167,0.08681869,0.1516117,0.1257864,0.6061789],"study_design_scores_gemma":[0.0001481197,0.0002585031,0.001922492,0.0002340326,0.00008635727,0.0007071298,0.0007772059,0.08718777,0.03820504,0.02276837,0.8475034,0.0002015566],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.06164284,0.0006301965,0.6581934,0.002908205,0.00100897,0.001787288,0.001427279,0.1375932,0.1348086],"genre_scores_gemma":[0.1928878,0.0006016888,0.6396219,0.001365126,0.0001502906,0.0007338722,0.004776404,0.01345768,0.1464054],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01067344,"threshold_uncertainty_score":0.03570622,"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."}}