{"id":"W2943942848","doi":"10.7895/ijadr.257","title":"Setting a Cap on the Maximum Average Number of Drinks Per Day in Australian Survey Research","year":2019,"lang":"en","type":"article","venue":"The International Journal of Alcohol and Drug Research","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Research Council; Massey University; Health Promotion Agency; Australian National Preventive Health Agency","keywords":"Consumption (sociology); Alcohol consumption; Statistics; Survey research; Range (aeronautics); Point (geometry); Psychology; Demography; Econometrics; Environmental health; Medicine; Mathematics; Applied psychology; Engineering; Alcohol","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1734762,0.001037274,0.001668309,0.003373345,0.003272359,0.003920194,0.004980854,0.003790442,0.004031572],"category_scores_gemma":[0.3144164,0.001484176,0.00190617,0.005872118,0.003275306,0.004331025,0.00643469,0.003973585,0.001584594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003738452,"about_ca_system_score_gemma":0.00957502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02262672,"about_ca_topic_score_gemma":0.01621264,"domain_scores_codex":[0.6836708,0.2572545,0.02686091,0.005655017,0.02319979,0.003358978],"domain_scores_gemma":[0.720559,0.1333994,0.03878461,0.03640871,0.06030083,0.01054752],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005107969,0.002132807,0.4037229,0.01837014,0.001397887,0.0009052964,0.04744608,0.008130056,0.007584386,0.02986616,0.09218866,0.3831476],"study_design_scores_gemma":[0.0007100291,0.005292694,0.8105792,0.01271209,0.0005675803,0.0005344009,0.01217438,0.007202883,0.00644827,0.01826477,0.1249525,0.0005611326],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5567362,0.008805774,0.2069474,0.04688114,0.00892501,0.04664847,0.01058471,0.001653156,0.1128182],"genre_scores_gemma":[0.6566172,0.001784754,0.2219701,0.01696539,0.0008451921,0.09617484,0.002204213,0.0002052943,0.003232906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8265238,"threshold_uncertainty_score":0.917441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1056411228355483,"score_gpt":0.4313049111393754,"score_spread":0.3256637883038271,"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."}}