{"id":"W2182421799","doi":"10.1080/15021149.2011.11434369","title":"The Scientometric Structure of Applied Behaviour Analysis","year":2011,"lang":"en","type":"article","venue":"European Journal of Behavior Analysis","topic":"Mental Health Research Topics","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"St.Amant; University of Manitoba","funders":"","keywords":"Social network analysis; Publication; Psychology; Publishing; Content analysis; Network analysis; Applied behavior analysis; Sociometry; Behavioural sciences; Computer science; Data science; Sociology; Social science; Social psychology; Developmental psychology; Political 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003029699,0.0001766041,0.0006102577,0.004468948,0.0002293455,0.00004852563,0.001164388,0.00004477346,0.004157111],"category_scores_gemma":[0.00006046134,0.0001167189,0.0008778789,0.01312927,0.0002597444,0.00007332681,0.000122525,0.0005236117,0.00003770028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008080824,"about_ca_system_score_gemma":0.00004902079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001113253,"about_ca_topic_score_gemma":0.00007925453,"domain_scores_codex":[0.9961401,0.000840939,0.001274238,0.0002660718,0.001031111,0.0004475562],"domain_scores_gemma":[0.9970271,0.0001159761,0.001241316,0.0007922358,0.0004738622,0.000349489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003072609,0.0006501815,0.9298378,0.000009277336,0.00683964,0.0003962191,0.003944402,0.0000503973,0.001245141,0.0006058319,0.0003305155,0.05578333],"study_design_scores_gemma":[0.000410335,0.0002706302,0.9835301,0.000002822595,0.01355085,0.00001429028,0.001228021,0.00001030935,0.00062567,0.00001254604,0.0002402443,0.0001041717],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879763,0.0003691996,0.00084047,0.00001954314,0.0002676168,0.0001402204,0.00003856869,0.000008194681,0.01033995],"genre_scores_gemma":[0.9982373,0.00003471042,0.000966698,0.00002346086,0.00007642123,0.000001791504,0.000008062322,0.00002266852,0.0006288628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05567916,"threshold_uncertainty_score":0.9967532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09524577999244031,"score_gpt":0.3925239069965293,"score_spread":0.297278127004089,"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."}}