{"id":"W1836469493","doi":"10.1002/0470013192.bsa276","title":"History of Correlational Measurement","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Statistics in Behavioral Science","topic":"Mental Health Research Topics","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Heredity; Galton's problem; Pearson product-moment correlation coefficient; Eugenics; Context (archaeology); Statistics; Correlation; Data collection; Epistemology; Psychology; Mathematics; Genealogy; Social science; Social psychology; Sociology; History; Philosophy; Law; Biology; Political science; Archaeology","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":[0.04755282,0.001337714,0.002085418,0.00973558,0.002437372,0.007943325,0.00273378,0.003094076,0.009678934],"category_scores_gemma":[0.1149353,0.001156161,0.001275683,0.01341999,0.02259497,0.007478269,0.004963924,0.008226642,0.003236663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009080964,"about_ca_system_score_gemma":0.008970609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006771819,"about_ca_topic_score_gemma":0.002994801,"domain_scores_codex":[0.9395466,0.04034889,0.003734087,0.005278668,0.01044139,0.000650346],"domain_scores_gemma":[0.8337208,0.1260546,0.004023471,0.01434393,0.02066455,0.001192491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004628696,0.00004745227,0.001623697,0.0008117275,0.0001157216,0.00010957,0.001469247,0.001104921,0.0001129771,0.8250867,0.01782754,0.1516442],"study_design_scores_gemma":[0.00002182218,0.0000708109,0.002444809,0.00244779,0.00003993744,0.0002795225,0.0006584885,0.003350298,0.0004377962,0.6041364,0.3860185,0.00009379864],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.005311633,0.3086994,0.4110857,0.06531751,0.007420784,0.0006238528,0.001458274,0.0007443043,0.1993385],"genre_scores_gemma":[0.3103091,0.2740564,0.344657,0.01686758,0.01584037,0.002654486,0.001396594,0.0009939269,0.03322458],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04755282,"threshold_uncertainty_score":0.2514864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1096692589206631,"score_gpt":0.4216276946226155,"score_spread":0.3119584357019524,"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."}}