{"id":"W3010577600","doi":"10.1007/s11135-020-00979-7","title":"Quantifying and analyzing nonlinear relationships with a fresh look at a classical dataset of student scores","year":2020,"lang":"en","type":"article","venue":"Quality & Quantity","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Nonlinear system; Econometrics; Psychology; Mathematics; Mathematics education; Statistics; Computer science; Physics","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":[0.00266229,0.0004111157,0.0004783073,0.002326328,0.0005469564,0.001327898,0.0007657869,0.0008546925,0.001805038],"category_scores_gemma":[0.01704627,0.0001591568,0.0006321245,0.002646411,0.0006807671,0.001656425,0.00122342,0.001212673,0.0009566598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005955134,"about_ca_system_score_gemma":0.0009279099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006747834,"about_ca_topic_score_gemma":0.01721146,"domain_scores_codex":[0.9987144,0.0004174283,0.0000697411,0.0003265542,0.0003643598,0.0001075194],"domain_scores_gemma":[0.9922954,0.003887157,0.0006131547,0.001521634,0.001348919,0.0003339261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007856826,0.0007043217,0.4818121,0.0005507136,0.0008053032,0.0004079206,0.001810481,0.05887333,0.02180258,0.02682418,0.04420479,0.3614186],"study_design_scores_gemma":[0.00003706515,0.000433394,0.6518795,0.0000978095,0.0001341254,0.0004156892,0.001432892,0.2520051,0.008041115,0.05980443,0.0255515,0.0001674188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7460288,0.0008614399,0.2282423,0.001759016,0.0001547112,0.0000879262,0.0167229,0.0014177,0.004725156],"genre_scores_gemma":[0.8939612,0.0002050927,0.08618635,0.0001786055,0.0001155707,0.00006901298,0.01675318,0.0001436868,0.002387476],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.006747834,"threshold_uncertainty_score":0.01407969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5227635861787261,"score_gpt":0.5206802557778186,"score_spread":0.002083330400907468,"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."}}