{"id":"W1966196342","doi":"10.1016/j.neuroimage.2011.10.085","title":"The ADNI Publication Policy: Commensurate recognition of critical contributors who are not authors","year":2011,"lang":"en","type":"article","venue":"NeuroImage","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre","funders":"National Center for Advancing Translational Sciences; National Center for Research Resources; Pfizer Pharmaceuticals; Eli Lilly and Company; IC Design Education Center; Daiichi-Sankyo; Australian Government; GlaxoSmithKline; Biogen; National Institutes of Health; Daiichi Sankyo Europe; Bayer HealthCare; National Institute on Aging","keywords":"Neuroimaging; Scale (ratio); Computer science; Data science; Alzheimer's Disease Neuroimaging Initiative; Psychology; Political science; Disease; Medicine; Neuroscience; Alzheimer's disease; Geography; Cartography; Internal medicine","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":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.1402056,0.003037081,0.007029057,0.01306756,0.0120729,0.0318858,0.01109485,0.04063796,0.178379],"category_scores_gemma":[0.5410206,0.005319197,0.00206229,0.01238155,0.008306916,0.01625986,0.0102333,0.03037403,0.3278727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006298975,"about_ca_system_score_gemma":0.05966559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004553636,"about_ca_topic_score_gemma":0.02313486,"domain_scores_codex":[0.8829465,0.03096678,0.02800528,0.006794382,0.04179733,0.009489657],"domain_scores_gemma":[0.2379304,0.1846878,0.05557214,0.1110404,0.3560059,0.05476335],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001339797,0.00009285215,0.0003702638,0.0002058409,0.00001162203,0.00007680599,0.0001316151,0.00004113544,0.0002291532,0.001570943,0.9783491,0.01878658],"study_design_scores_gemma":[0.0003431567,0.0001563278,0.002930915,0.001521605,0.00006204424,0.0005396795,0.0006022028,0.001608223,0.00126891,0.00726513,0.9835535,0.0001484117],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.00190847,0.001709946,0.02078614,0.5026808,0.3386034,0.00473998,0.004256138,0.007450339,0.1178647],"genre_scores_gemma":[0.01305475,0.003571765,0.07188731,0.1975335,0.1285379,0.01354321,0.005855691,0.006953307,0.5590626],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.959362,"threshold_uncertainty_score":0.7414868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0639598590845987,"score_gpt":0.2950256564962103,"score_spread":0.2310657974116116,"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."}}