{"id":"W1533300735","doi":"10.1111/j.1360-0443.2012.04036.x","title":"<scp>M</scp>aternal <scp>O</scp>pioid <scp>T</scp>reatment: <scp>H</scp>uman <scp>E</scp>xperimental <scp>R</scp>esearch (<scp>MOTHER</scp>)—approach, issues and lessons learned","year":2012,"lang":"en","type":"review","venue":"Addiction","topic":"Prenatal Substance Exposure Effects","field":"Medicine","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"National Center for Research Resources; National Institute on Drug Abuse; Government of Ontario; Brown University","keywords":"Attrition; Clinical trial; Randomized controlled trial; Protocol (science); Focus group; Medicine; Methadone; Random assignment; Psychology; Pharmacology; Alternative medicine; Marketing; Business","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch","metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity"],"category_scores_codex":[0.008067003,0.0099263,0.01340715,0.005471909,0.003761525,0.002737704,0.005449952,0.007854678,0.0001588852],"category_scores_gemma":[0.02394174,0.009469843,0.005209604,0.006768789,0.003393904,0.004791118,0.00351423,0.01176573,0.006145732],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005811961,"about_ca_system_score_gemma":0.002720862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001680435,"about_ca_topic_score_gemma":0.0003708484,"domain_scores_codex":[0.9557503,0.00564832,0.007417362,0.009998815,0.009194008,0.01199123],"domain_scores_gemma":[0.9516195,0.02560429,0.006546449,0.007439241,0.001979843,0.006810691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001066526,0.01520601,0.01275045,0.03875378,0.02624709,0.004229914,0.04438184,0.0002193975,0.01506791,0.003042828,0.6619613,0.1780328],"study_design_scores_gemma":[0.01092927,0.004300603,0.003992192,0.01327147,0.009575494,0.003532439,0.01438067,0.0005007392,0.01566145,0.0005151478,0.9227113,0.0006292464],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1294437,0.7787464,0.0009125734,0.0001230819,0.006539835,0.0151266,0.003470462,0.003750874,0.06188647],"genre_scores_gemma":[0.03692417,0.7688299,0.003332881,0.0009052312,0.0138859,0.007341748,0.01509987,0.004373087,0.1493072],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.26075,"threshold_uncertainty_score":0.999931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06105814040052462,"score_gpt":0.3463032350675578,"score_spread":0.2852450946670332,"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."}}