{"id":"W1549634903","doi":"10.18438/b8f89z","title":"Looking Forwards and Looking Back","year":2012,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02599821,0.001343096,0.003047418,0.004059571,0.001959073,0.005680865,0.00401563,0.007053235,0.2024436],"category_scores_gemma":[0.1602805,0.0008805442,0.004672479,0.004396012,0.001567822,0.009760639,0.004256306,0.006831696,0.082226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005240586,"about_ca_system_score_gemma":0.01587484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004922735,"about_ca_topic_score_gemma":0.009290655,"domain_scores_codex":[0.9804209,0.006548118,0.003668711,0.00120512,0.007012661,0.001144489],"domain_scores_gemma":[0.8975906,0.01990521,0.005785726,0.005328891,0.06699698,0.004392541],"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":[0.0006701964,0.0000474623,0.000237849,0.01289146,0.0002389774,0.0001485995,0.00008669819,0.00005645466,0.0002028045,0.003586031,0.8910428,0.09079065],"study_design_scores_gemma":[0.0002544304,0.0002008699,0.0007687068,0.03392386,0.0007486102,0.0002486655,0.0004766363,0.00006583885,0.0005952611,0.008693208,0.953954,0.00006982471],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"commentary","genre_scores_codex":[0.0005342043,0.08958703,0.003115581,0.3439694,0.5021754,0.001528548,0.007565625,0.0004247727,0.05109947],"genre_scores_gemma":[0.01336809,0.2218857,0.006678374,0.2946877,0.1515326,0.004018278,0.01145773,0.0007436228,0.295628],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.2024436,"threshold_uncertainty_score":0.6772414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07083368027998924,"score_gpt":0.4277227136225005,"score_spread":0.3568890333425112,"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."}}