{"id":"W2089139733","doi":"10.3354/esep00090","title":"Re-interpretation of influence weight as a citation-based Index of New Knowledge (INK)","year":2008,"lang":"en","type":"article","venue":"Ethics in Science and Environmental Politics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Citation; Interpretation (philosophy); Impact factor; Index (typography); Computer science; Library science; World Wide Web; Political science; Law","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":["metaresearch","bibliometrics","sts"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.01244122,0.0001075136,0.0002247292,0.01365166,0.0002474714,0.0001248301,0.001169046,0.0001412266,0.00007652539],"category_scores_gemma":[0.03029515,0.00008806184,0.00004793443,0.031959,0.003632756,0.0006577263,0.0003547999,0.0004051747,0.00002859594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001965824,"about_ca_system_score_gemma":0.001460225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004972119,"about_ca_topic_score_gemma":0.00004325603,"domain_scores_codex":[0.9917346,0.000138792,0.0006981817,0.0004633453,0.006577157,0.0003879148],"domain_scores_gemma":[0.9941415,0.004281103,0.0002569548,0.0004354937,0.0005514476,0.0003335122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002962286,0.0003022199,0.9543119,0.00002649137,0.000003761306,0.00000766699,0.01739998,0.002131491,0.007991646,0.00605766,0.0002585771,0.01147899],"study_design_scores_gemma":[0.0006814651,0.000327612,0.8536284,0.00005761558,0.000003578997,0.000006277481,0.004549247,0.07069174,0.02535875,0.0437949,0.0006965569,0.000203851],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937924,0.0002905925,0.001646201,0.0005425738,0.0001157942,0.0001226343,0.00001726241,0.000003419539,0.003469165],"genre_scores_gemma":[0.9983404,0.0002559485,0.0007393818,0.0002842445,0.0000150136,0.000002127037,0.000001411449,0.000004573511,0.0003568761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1006835,"threshold_uncertainty_score":0.9990788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3757989421008718,"score_gpt":0.52889130908522,"score_spread":0.1530923669843481,"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."}}