{"id":"W2017115354","doi":"10.3758/brm.41.3.615","title":"A hybrid approach to experimental control","year":2009,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Control (management); XML; Set (abstract data type); Programming language; Range (aeronautics); Object (grammar); Operating system; Artificial intelligence","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":[0.002738759,0.000771201,0.0008610455,0.0009136834,0.0006042991,0.001763167,0.002663204,0.001081492,0.007413491],"category_scores_gemma":[0.005203495,0.0005246969,0.0006998962,0.0006234308,0.002363832,0.002200286,0.002327008,0.001278589,0.0007863655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009067195,"about_ca_system_score_gemma":0.0007461207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001013953,"about_ca_topic_score_gemma":0.0007394581,"domain_scores_codex":[0.9974955,0.001232085,0.0001009134,0.0004025703,0.0006657504,0.0001030943],"domain_scores_gemma":[0.9962025,0.002124452,0.0001964553,0.001027414,0.0003638488,0.00008533119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005686388,0.0005999543,0.001008894,0.0003314074,0.0001918852,0.0000828747,0.0003319336,0.09844185,0.03108739,0.6890477,0.001312547,0.1769949],"study_design_scores_gemma":[0.0001292396,0.0004857279,0.0008519496,0.00004100085,0.00005515526,0.00008669159,0.0001169477,0.7021785,0.01173284,0.2757587,0.008497057,0.00006626722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004451281,0.00007554219,0.9904622,0.0001041813,0.00004965289,0.000050755,0.00003366582,0.0001664546,0.004606165],"genre_scores_gemma":[0.5221815,0.0002440794,0.4632968,0.0002386312,0.0001478552,0.001259507,0.0001690148,0.0001901877,0.01227265],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007413491,"threshold_uncertainty_score":0.02480054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1282736532205349,"score_gpt":0.5035860982041628,"score_spread":0.3753124449836278,"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."}}