{"id":"W29950472","doi":"10.1136/bmjopen-2018-021727","title":"Лоббирование правотворческих решений","year":2014,"lang":"en","type":"article","venue":"Юридическая техника","topic":"Medical Research and Practices","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"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":["metaresearch","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003597528,0.0002189189,0.0003619035,0.0001395219,0.0009444829,0.00002997388,0.0005381459,0.0003238035,0.02077333],"category_scores_gemma":[0.008698776,0.0001485153,0.0001028031,0.0003074181,0.0001482342,0.000289459,0.0002526096,0.001644088,0.01619442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008908867,"about_ca_system_score_gemma":0.0003884082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004296207,"about_ca_topic_score_gemma":0.0004046635,"domain_scores_codex":[0.9951628,0.001715132,0.0005807785,0.0004447985,0.0008772564,0.001219203],"domain_scores_gemma":[0.9940677,0.003870003,0.000230604,0.0007359426,0.0002060849,0.000889612],"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":[0.0002934266,0.0002704761,0.06709525,0.0007277525,0.0001102601,0.00004567449,0.002417475,0.000002245216,0.001976663,0.04531485,0.4427564,0.4389895],"study_design_scores_gemma":[0.0009655433,0.0001415267,0.01450885,0.0001266734,0.00001621932,0.000001697184,0.0003863745,0.0005701758,0.00009776086,0.007041316,0.9759367,0.0002072016],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1142989,0.0006867755,0.005843489,0.02451919,0.003036438,0.001091505,0.00003053404,0.0005224501,0.8499707],"genre_scores_gemma":[0.9033732,0.0007442185,0.001465947,0.01280374,0.00322209,0.0002433169,0.00004720402,0.00007326408,0.07802697],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7890743,"threshold_uncertainty_score":0.9996514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2550859894503285,"score_gpt":0.6580026273863944,"score_spread":0.4029166379360659,"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."}}