{"id":"W4220850677","doi":"10.1002/jwmg.22214","title":"Getting cited early: influence of visibility strategies, structure, and focal system on early citation rates","year":2022,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Fulbright Canada","keywords":"Citation; Visibility; Wildlife; Citation analysis; Cohort; Geography; Library science; Demography; Computer science; Medicine; Ecology; Biology; Sociology; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01109751,0.0002698206,0.0005245206,0.002346071,0.0006394482,0.002807027,0.0007090511,0.0007654101,0.002576438],"category_scores_gemma":[0.09013287,0.0002295391,0.000836325,0.002268688,0.0006722065,0.001732426,0.001413553,0.0005850201,0.0003291712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008062116,"about_ca_system_score_gemma":0.000890701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006262518,"about_ca_topic_score_gemma":0.007244651,"domain_scores_codex":[0.9950364,0.002152545,0.0006070536,0.0009777229,0.0007176331,0.0005085399],"domain_scores_gemma":[0.8516691,0.09801381,0.02932988,0.007236576,0.008011558,0.005739062],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002186242,0.0001107288,0.9850315,0.00005732922,0.0002955479,0.00007349832,0.0007724267,0.0006578892,0.0007897411,0.000386594,0.0001964911,0.01140965],"study_design_scores_gemma":[0.000007774357,0.0001723683,0.9959421,0.0000225722,0.0001152921,0.00006659925,0.0006210175,0.001681781,0.0004459106,0.0004873498,0.0004224612,0.00001486288],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996874,0.0005069132,0.001127281,0.0001341839,0.00001425071,0.00002130189,0.0001520788,0.00001244728,0.001157509],"genre_scores_gemma":[0.9992786,0.00007508034,0.0002932257,0.00001437476,0.00001120124,0.000008260889,0.00006991313,0.000006294696,0.0002431042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9976539,"threshold_uncertainty_score":0.05868989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01470175534755438,"score_gpt":0.2430861141728491,"score_spread":0.2283843588252947,"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."}}