{"id":"W2943719632","doi":"10.3138/cjhs.2018-0045","title":"Netflix and chill?: Exploring and refining differing motivations in friends with benefits relationships","year":2019,"lang":"en","type":"article","venue":"The Canadian Journal of Human Sexuality","topic":"Attachment and Relationship Dynamics","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Social psychology; Interpersonal relationship; Coding (social sciences); Sociology","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":[0.004628099,0.0002066537,0.0001842671,0.001355269,0.002265678,0.00300135,0.0004850916,0.0004720431,0.002156558],"category_scores_gemma":[0.0139761,0.0001856225,0.0002771359,0.0007684211,0.001703285,0.003268345,0.002732797,0.0009057692,0.0001695635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00213111,"about_ca_system_score_gemma":0.001323107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007848429,"about_ca_topic_score_gemma":0.02804125,"domain_scores_codex":[0.9980246,0.00121421,0.00006549474,0.0001370598,0.0003519575,0.0002067911],"domain_scores_gemma":[0.9939564,0.00358012,0.001136344,0.000289727,0.0004957006,0.0005416014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002584912,0.0001508309,0.3800239,0.0003155844,0.00005639224,0.0005880969,0.5044297,0.0001770876,0.00222223,0.01572421,0.001444492,0.09460898],"study_design_scores_gemma":[0.00001894572,0.0001310449,0.3575107,0.0002996192,0.00004378969,0.0008018163,0.610068,0.001636727,0.0009596621,0.007353412,0.02110851,0.0000677137],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99137,0.0001888472,0.001098439,0.0004248029,0.00001000329,0.00003662433,0.00005565208,0.000007618131,0.006808077],"genre_scores_gemma":[0.9966625,0.0001608439,0.001822183,0.0001015952,0.000004372943,0.00003863435,0.00006193282,0.000007746347,0.001140192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007848429,"threshold_uncertainty_score":0.02447599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1128846796764014,"score_gpt":0.3455521639919132,"score_spread":0.2326674843155118,"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."}}