{"id":"W2334332576","doi":"10.1037/a0031331","title":"Seeing the forest with the trees: Cybersex as a case study of single-item versus multi-item measures of sexual behaviour.","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Behavioural Science/Revue canadienne des sciences du comportement","topic":"Sexuality, Behavior, and Technology","field":"Psychology","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Psychology; Validation test; Social psychology; Sexual behavior; Developmental psychology; Psychometrics; Test validity","routes":{"ca_aff":false,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004766818,0.0004669476,0.0005234358,0.001362736,0.004539403,0.002114146,0.0008981793,0.001744728,0.002199945],"category_scores_gemma":[0.0163372,0.0003798813,0.0003203505,0.001841479,0.00264536,0.002506838,0.002882543,0.001940042,0.0003127813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002226921,"about_ca_system_score_gemma":0.001989696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03098922,"about_ca_topic_score_gemma":0.1199886,"domain_scores_codex":[0.9957808,0.002826361,0.0001856301,0.0002214159,0.0005363841,0.0004493198],"domain_scores_gemma":[0.9920385,0.004729053,0.0009630297,0.0006963701,0.0007677997,0.0008053121],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000555397,0.001338369,0.3894827,0.0005052908,0.00009302431,0.07048147,0.4752016,0.0001343734,0.002716208,0.006574469,0.003171928,0.04974517],"study_design_scores_gemma":[0.00004713627,0.000560105,0.2648039,0.0007365341,0.0001108451,0.1098944,0.6058759,0.0007535131,0.002271748,0.001999957,0.0128297,0.0001162689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946648,0.0006980562,0.0005400499,0.0006362797,0.00002533968,0.00005929786,0.00009999737,0.00000510264,0.003271048],"genre_scores_gemma":[0.9961366,0.0007042165,0.001362347,0.0004006559,0.00001567492,0.00004082159,0.0000525505,0.00001727117,0.00126993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9952332,"threshold_uncertainty_score":0.06161773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2150662016123317,"score_gpt":0.3214384049944719,"score_spread":0.1063722033821402,"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."}}