{"id":"W1500266420","doi":"10.18438/b8d91z","title":"Looking at Things in New Ways","year":2010,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0002525061,0.00007313014,0.00009112294,0.0001702963,0.00008183344,0.00004868747,0.00006651738,0.0008762393,0.0005773111],"category_scores_gemma":[0.001144626,0.00005978358,0.00001939326,0.0002480242,0.00005332359,0.09023988,0.00005931193,0.001931283,0.0001098949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004984878,"about_ca_system_score_gemma":0.0001858248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008264751,"about_ca_topic_score_gemma":1.164583e-7,"domain_scores_codex":[0.9994547,0.00002058818,0.0002274693,0.00008378827,0.0001019092,0.0001115538],"domain_scores_gemma":[0.9991425,0.0004669585,0.0001272825,0.0001655528,0.00001396514,0.00008374147],"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":[0.002476601,0.00009211171,0.01195115,0.0002928258,0.00003786809,0.00007631398,0.001175326,0.00001989083,0.008180116,0.8815455,0.01816643,0.07598587],"study_design_scores_gemma":[0.0007653494,0.0001220471,0.01167845,0.0003510059,0.00003203149,0.0002500978,0.0001582563,0.001864633,0.02022533,0.0001724762,0.9642783,0.0001020589],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07387277,0.0008001484,0.001952594,0.8884456,0.0003455432,0.0003238174,8.063797e-7,0.0002552642,0.03400352],"genre_scores_gemma":[0.6056116,0.004423469,0.02376357,0.3643321,0.0001254082,0.000007643957,0.00003786081,0.00001147128,0.001686827],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9461119,"threshold_uncertainty_score":0.9224845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009093711213728217,"score_gpt":0.239792872201787,"score_spread":0.2306991609880588,"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."}}