{"id":"W3175903833","doi":"10.1162/qss_a_00142","title":"Uncited papers are not useless","year":2021,"lang":"en","type":"article","venue":"Quantitative Science Studies","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Fraction (chemistry); Citation; Poisson process; Measure (data warehouse); Poisson distribution; The arts; Computer science; Mathematical economics; Mathematics; Statistics; Library science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.007044163,0.000350647,0.001329776,0.007657486,0.002272913,0.006618687,0.001553347,0.001714608,0.007404984],"category_scores_gemma":[0.1476295,0.0005352153,0.0005473528,0.01113664,0.003609158,0.008088101,0.001855339,0.001755472,0.001808103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002227768,"about_ca_system_score_gemma":0.001271409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001363462,"about_ca_topic_score_gemma":0.001175774,"domain_scores_codex":[0.9924808,0.002226607,0.000697473,0.001420214,0.002520205,0.0006548417],"domain_scores_gemma":[0.8182799,0.1122915,0.03091323,0.0189161,0.01375046,0.005848796],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.002394839,0.0005101064,0.2895793,0.001462637,0.0009428832,0.002653953,0.008153694,0.05119159,0.01078643,0.3434584,0.0234905,0.2653757],"study_design_scores_gemma":[0.0002067829,0.0004385621,0.2110303,0.000450301,0.0003438117,0.004902806,0.003543882,0.1016761,0.01216427,0.6256163,0.03938423,0.0002427457],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9468812,0.003447232,0.01979201,0.003568254,0.0002326813,0.00003926624,0.001271261,0.0004373221,0.02433077],"genre_scores_gemma":[0.9949188,0.0004715194,0.00153295,0.000142222,0.0001164778,0.00001518235,0.0003140196,0.00005730236,0.002431518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9929559,"threshold_uncertainty_score":0.03725356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.891090757630023,"score_gpt":0.6925934581402525,"score_spread":0.1984972994897705,"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."}}