{"id":"W27314399","doi":"10.12794/metadc149594","title":"Response Patterns in Functional Analyses: a Preliminary Analysis","year":2012,"lang":"en","type":"dissertation","venue":"","topic":"Behavioral and Psychological Studies","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Affairs Canada","funders":"Bhabha Atomic Research Centre","keywords":"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":[0.003705695,0.0007726269,0.0004662177,0.00288407,0.000646945,0.0008268711,0.0006654254,0.0005535315,0.00264853],"category_scores_gemma":[0.01202588,0.0002743244,0.0005492807,0.001865233,0.0008947696,0.0008692382,0.0007058787,0.0009198275,0.0006457357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005486835,"about_ca_system_score_gemma":0.0003957941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001266997,"about_ca_topic_score_gemma":0.001537309,"domain_scores_codex":[0.9970846,0.0009319743,0.0003315915,0.0004529814,0.0009460415,0.0002528345],"domain_scores_gemma":[0.9848496,0.009117954,0.001130519,0.001703979,0.002900547,0.0002974921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002640142,0.001396557,0.2093393,0.0009012295,0.0002024871,0.001221952,0.00626216,0.002818624,0.4860525,0.003296682,0.00161632,0.2842521],"study_design_scores_gemma":[0.00003454482,0.00311877,0.8765171,0.00006590421,0.0001416605,0.001730643,0.002310666,0.01877518,0.08735706,0.002350932,0.007491929,0.0001055495],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8722908,0.0001953798,0.1110217,0.0001008611,0.00003285487,0.001564502,0.001624045,0.001205414,0.01196448],"genre_scores_gemma":[0.9425734,0.0001032966,0.05203282,0.00004714751,0.00002752407,0.00135221,0.001228986,0.0002596048,0.00237504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003705695,"threshold_uncertainty_score":0.01959783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3333118565858549,"score_gpt":0.4482765153930587,"score_spread":0.1149646588072039,"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."}}