{"id":"W4390759883","doi":"10.2196/50650","title":"Detecting and Understanding Social Influence During Drinking Situations: Protocol for a Bluetooth-Based Sensor Feasibility and Acceptability Study","year":2024,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Drug Abuse; National Institute on Alcohol Abuse and Alcoholism","keywords":"Bluetooth; Applied psychology; Psychology; Psychological intervention; Popularity; Peer group; Social network (sociolinguistics); Computer science; Social psychology; Social media; World Wide Web; Psychiatry; Telecommunications; Wireless","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":[],"consensus_categories":[],"category_scores_codex":[0.04332291,0.003397855,0.003685399,0.002795851,0.005714229,0.002484766,0.002955384,0.004511186,0.06827017],"category_scores_gemma":[0.04040265,0.003302195,0.003850667,0.002474947,0.002653067,0.002037146,0.002984486,0.008190597,0.01735149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003028684,"about_ca_system_score_gemma":0.01316019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003232125,"about_ca_topic_score_gemma":0.005709633,"domain_scores_codex":[0.9794743,0.01194849,0.003386701,0.001305772,0.002299827,0.001584844],"domain_scores_gemma":[0.9637205,0.01178574,0.00357801,0.006697678,0.01170179,0.002516354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.1367052,0.1273476,0.01313565,0.05393162,0.001298357,0.003464126,0.01978723,0.007832394,0.02675402,0.01444193,0.2088333,0.3864686],"study_design_scores_gemma":[0.1279773,0.1219428,0.06977937,0.01722688,0.001060876,0.001210863,0.01156625,0.007846081,0.01240643,0.01303777,0.6148021,0.001143394],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.002581708,0.00006863765,0.003492242,0.0001540972,0.0001712052,0.9911886,0.00111386,0.00007926377,0.001150324],"genre_scores_gemma":[0.0008383011,0.00004178074,0.002575096,0.00008802294,0.00001658033,0.9960914,0.0001039836,0.000004965834,0.000239768],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.06827017,"threshold_uncertainty_score":0.2291161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.493331400195575,"score_gpt":0.5867614777003763,"score_spread":0.09343007750480137,"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."}}