{"id":"W4393209406","doi":"10.21638/spbu11.2023.308","title":"The path to science","year":2023,"lang":"en","type":"article","venue":"Vestnik of Saint Petersburg University Medicine","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Path (computing); Computer science; Psychology; Computer network","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005397493,0.00007765484,0.0001612358,0.0008875083,0.0007619226,0.00005464484,0.001507776,0.00002195148,0.0000818909],"category_scores_gemma":[0.002938998,0.00004594932,0.00004094009,0.006612534,0.001279094,0.000303991,0.0005896781,0.00009556292,0.000270612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001714737,"about_ca_system_score_gemma":0.0002814265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007531521,"about_ca_topic_score_gemma":0.00006920413,"domain_scores_codex":[0.9968998,0.0001227655,0.0002444694,0.0003288367,0.002059241,0.0003448595],"domain_scores_gemma":[0.9971442,0.0009663539,0.0001056856,0.0005719261,0.0009445153,0.0002673223],"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":[0.001748203,0.00009312251,0.008892659,0.00002647964,0.00005286824,0.0005369225,0.01818711,0.0006738942,0.1436955,0.2164781,0.5169955,0.09261958],"study_design_scores_gemma":[0.001810285,0.004140131,0.1767243,0.0002680224,0.00002689801,0.0000174695,0.2597079,0.008678236,0.003973874,0.01778323,0.5264705,0.000399097],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9489188,0.00001843601,0.001170744,0.03656379,0.0004977292,0.0002196167,0.000008969218,0.00004413996,0.01255773],"genre_scores_gemma":[0.9879988,0.00002049462,0.00007232121,0.00007225375,0.00008698872,5.186412e-7,0.000001765336,0.000003157125,0.01174364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2415208,"threshold_uncertainty_score":0.586017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07838068848566516,"score_gpt":0.3935590267697827,"score_spread":0.3151783382841175,"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."}}