{"id":"W4247927082","doi":"10.31219/osf.io/sh7ja","title":"Predicting Romantic Interest during Early Relationship Development: A Preregistered Investigation using Machine Learning","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Attachment and Relationship Dynamics","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Psychology; Romance; Moderation; Social psychology; Multilevel model; Developmental psychology; Machine learning; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01542714,0.0004336929,0.0006327472,0.0008420472,0.0006361497,0.002062326,0.0009748984,0.0006044657,0.00301758],"category_scores_gemma":[0.04807651,0.0004476313,0.001162116,0.00137644,0.0006273318,0.002424808,0.001003085,0.002336045,0.0007020266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005573518,"about_ca_system_score_gemma":0.0009374794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003638589,"about_ca_topic_score_gemma":0.004889945,"domain_scores_codex":[0.9952166,0.003313746,0.0001786117,0.000477365,0.0005683493,0.0002452054],"domain_scores_gemma":[0.9489316,0.04139684,0.003235901,0.002925928,0.002419973,0.001089665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002908038,0.0004799709,0.9453326,0.00008739844,0.0001341775,0.00007769561,0.002698745,0.0006253825,0.0005428411,0.0009385959,0.0003572103,0.04843464],"study_design_scores_gemma":[0.00001529768,0.0005212395,0.9732955,0.0001099626,0.0001071164,0.0002331748,0.002779379,0.01850034,0.001006213,0.001501164,0.001901343,0.00002928495],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929193,0.0004702057,0.004648649,0.0004203328,0.00001309015,0.00006354863,0.0002028118,0.00001790686,0.001244162],"genre_scores_gemma":[0.994351,0.0002882935,0.004364637,0.0000686556,0.00001856333,0.0001205389,0.0002825821,0.00001315814,0.000492534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01542714,"threshold_uncertainty_score":0.08158749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1137736002227717,"score_gpt":0.3722418983448795,"score_spread":0.2584682981221078,"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."}}