{"id":"W4386332849","doi":"10.52294/001c.87681","title":"NiMARE: Neuroimaging Meta-Analysis Research Environment","year":2023,"lang":"en","type":"article","venue":"Aperture Neuro","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Neuroimaging; Meta-analysis; Psychology; Medicine; Neuroscience; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008014727,0.0002269052,0.000491388,0.0006577441,0.0006408711,0.0001081575,0.0004510407,0.00004804393,0.0005847006],"category_scores_gemma":[0.08805458,0.0001818362,0.0006813583,0.003323629,0.000258057,0.0001847439,0.0005809039,0.0005682893,0.002251256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004239379,"about_ca_system_score_gemma":0.00001977939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002176143,"about_ca_topic_score_gemma":0.000008507237,"domain_scores_codex":[0.9959469,0.0007840685,0.0002189045,0.001190354,0.001251399,0.0006083783],"domain_scores_gemma":[0.8641036,0.1350318,0.00004564903,0.0006858396,0.00003666879,0.00009648234],"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":[0.00004613203,0.0001448593,0.0007050101,0.00001980046,0.008025321,0.0007134871,0.0003524396,0.002635718,0.2027398,0.003156739,0.7809461,0.0005145955],"study_design_scores_gemma":[0.000132148,0.00008841337,0.00369183,4.65753e-7,0.007295839,0.00001743346,0.00004808241,0.00382617,0.006646947,0.001063113,0.9769458,0.000243812],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01555677,0.0005780998,0.0003471394,0.9649524,0.0006003006,0.0008239755,0.0001314431,0.001037475,0.01597237],"genre_scores_gemma":[0.8313462,0.0002308599,0.00006281386,0.1600396,0.0001516871,0.0002256244,0.000009687849,0.00006542556,0.007868079],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.8157894,"threshold_uncertainty_score":0.9985256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3171947735619751,"score_gpt":0.3703831420235524,"score_spread":0.05318836846157737,"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."}}