{"id":"W3000583913","doi":"10.29173/hsi19","title":"The Future of Beh“AI”viour Change","year":2019,"lang":"en","type":"article","venue":"Health Science Inquiry","topic":"Semiconductor Lasers and Optical Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Behcet's disease; Medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000462622,0.00006714142,0.000108897,0.00004954263,0.0001275331,0.00003316852,0.0003309344,0.0000318202,0.00003230323],"category_scores_gemma":[0.000006919538,0.00004334133,0.00002326278,0.0003992167,0.0002623077,0.0002591302,0.00003599726,0.0001244431,0.00006373532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004647253,"about_ca_system_score_gemma":0.00008230136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002753365,"about_ca_topic_score_gemma":0.00002089627,"domain_scores_codex":[0.9990906,0.000005787664,0.0001655477,0.0001312515,0.0002530965,0.0003537617],"domain_scores_gemma":[0.9995047,0.00003141584,0.0000330937,0.0002579301,0.0000468886,0.0001260106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00005647498,0.0001663237,0.1704993,0.003157832,0.00004758622,0.000009738759,0.03673721,0.001706048,0.03957887,0.1417066,0.05664277,0.5496913],"study_design_scores_gemma":[0.0008339725,0.0006607902,0.5503955,0.0004753683,0.0000104235,0.00002486856,0.01461871,0.05953262,0.0130541,0.001702874,0.3578323,0.0008585062],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874086,0.004900439,0.00001098598,0.002168572,0.004648623,0.0002024855,0.000002233811,0.00005871567,0.0005993237],"genre_scores_gemma":[0.9977887,0.0006370448,0.00009828989,0.001024571,0.0004090415,0.000007410903,5.541985e-7,0.000007272915,0.00002712071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5488328,"threshold_uncertainty_score":0.1767408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04320253921375398,"score_gpt":0.3203691924107033,"score_spread":0.2771666531969493,"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."}}