{"id":"W2587114544","doi":"10.1080/14689367.2017.1280905","title":"Special issue for Martin Golubitsky","year":2017,"lang":"en","type":"article","venue":"Dynamical Systems","topic":"Social and Cultural Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004450113,0.0001095126,0.0002247665,0.00001370248,0.002169851,0.0005492594,0.0005600709,0.0001943281,0.0001635531],"category_scores_gemma":[0.0005607888,0.00009419211,0.0001377704,0.00004587363,0.0003212246,0.0002138983,0.00005578751,0.00009246114,0.0002433615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001616651,"about_ca_system_score_gemma":0.00005361584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004981287,"about_ca_topic_score_gemma":0.004288672,"domain_scores_codex":[0.9987511,0.00008709056,0.0002142208,0.0002260885,0.0003080637,0.0004134364],"domain_scores_gemma":[0.9992236,0.00007613799,0.0001710081,0.0002420857,0.0001191512,0.0001680076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000679279,0.00009847553,0.01171681,0.00007694757,0.00006012807,0.000008867252,0.005981585,0.00001850989,0.0001218446,0.7762428,0.1723747,0.03323143],"study_design_scores_gemma":[0.0002771481,0.00002653556,0.003800444,0.00002501866,0.00001496403,6.01992e-7,0.002805244,0.003823298,8.882669e-7,0.002475232,0.9865566,0.0001939497],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2012381,0.0000801014,0.0007314085,0.01066866,0.02778388,0.002149922,0.0001613388,0.0002987125,0.7568879],"genre_scores_gemma":[0.8475884,0.00001863329,0.000112438,0.0000819265,0.05115235,0.0001145525,0.00002827557,0.0000204474,0.100883],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.814182,"threshold_uncertainty_score":0.9991292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0265684124651582,"score_gpt":0.3292029684196029,"score_spread":0.3026345559544447,"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."}}