{"id":"W4408153317","doi":"10.61373/gp025k.0011","title":"Melissa Perreault: Thinking big towards a “complexity science” approach in neuroscience – systems, environment, and whole organism research","year":2025,"lang":"en","type":"article","venue":"Genomic psychiatry :","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Organism; Cognitive science; Big Idea; Neuroscience; Psychology; Data science; Computer science; Biology; Sociology; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.02023257,0.0002831781,0.0005746758,0.002338454,0.001740951,0.002246107,0.003158975,0.0001215887,0.00004078531],"category_scores_gemma":[0.001098069,0.0002236125,0.00008852901,0.004474078,0.001470764,0.0004282432,0.002226488,0.0006043248,0.0001246811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003135048,"about_ca_system_score_gemma":0.001179462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005252193,"about_ca_topic_score_gemma":0.00008850117,"domain_scores_codex":[0.9917665,0.0007227567,0.001250607,0.002005558,0.003297611,0.0009569552],"domain_scores_gemma":[0.997157,0.0004543249,0.0002683528,0.001639168,0.0002203278,0.0002608479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001223122,0.0005226242,0.1324508,0.0001155334,0.00001543307,0.00002374136,0.005722546,0.002326042,0.0301858,0.7736502,0.02187885,0.03298601],"study_design_scores_gemma":[0.0009937902,0.00009407636,0.5116368,0.0001409282,0.00000796622,0.0001034888,0.01334226,0.03725871,0.00001623849,0.3179674,0.1179635,0.0004748249],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9019195,0.006609838,0.02511669,0.00310681,0.007249859,0.001353597,0.00004298594,0.00009117551,0.05450951],"genre_scores_gemma":[0.9927307,0.00002307576,0.004507385,0.0003476665,0.0002088582,0.00003323827,8.872087e-7,0.00001656244,0.002131578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4556828,"threshold_uncertainty_score":0.9995586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2558604673305501,"score_gpt":0.4234101833002678,"score_spread":0.1675497159697177,"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."}}