{"id":"W3124251198","doi":"10.1103/physrevlett.126.038301","title":"Inference, Model Selection, and the Combinatorics of Growing Trees","year":2021,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; James S. McDonnell Foundation","keywords":"Inference; Computer science; Selection (genetic algorithm); Model selection; Interpolation (computer graphics); Series (stratigraphy); Machine learning; Artificial intelligence; Algorithm; Theoretical computer science; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001222052,0.00009253459,0.0003509058,0.00001242729,0.00005653039,0.00001655522,0.00009495013,0.000003010393,0.00001809471],"category_scores_gemma":[0.00001489108,0.00006367434,0.0001740904,0.0003257889,0.00006956945,0.00007679759,0.00007051074,0.0001161492,0.000001347839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006805256,"about_ca_system_score_gemma":0.00001782788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002415817,"about_ca_topic_score_gemma":0.000001200912,"domain_scores_codex":[0.9993661,0.00009618793,0.0001759553,0.0001383428,0.0001223356,0.000101045],"domain_scores_gemma":[0.9994661,0.000182269,0.00009039261,0.0001678123,0.00006826193,0.00002514375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004999493,0.0001610132,0.005535136,0.0002321744,0.000217511,4.256383e-7,0.0001295504,0.002229558,0.005818905,0.9703712,0.004823737,0.01047575],"study_design_scores_gemma":[0.001068752,0.00002576903,0.001167484,0.001454178,0.001070673,0.000001259086,0.00003512561,0.5883814,0.006167609,0.3943891,0.00573613,0.0005024773],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8234661,0.01036462,0.1429529,0.01862974,0.00004650744,0.0005801367,0.000008964784,0.00009112865,0.00385996],"genre_scores_gemma":[0.9972628,0.0006467862,0.0002882247,0.001680228,0.00006897492,0.0000277908,0.000006359623,0.000006528988,0.00001233374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5861518,"threshold_uncertainty_score":0.2596564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01388794743700437,"score_gpt":0.2924311190793675,"score_spread":0.2785431716423631,"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."}}