{"id":"W1983455381","doi":"10.1300/j108v06n02_06","title":"Impact and Publication Patterns: A Model for Examining Resources in an International Context","year":2004,"lang":"en","type":"article","venue":"Journal of Agricultural & Food Information","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Context (archaeology); Data science; Library science; Computer science; Political science; Geography","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":[0.02649188,0.001294144,0.001648129,0.02486863,0.001890237,0.009049797,0.002517558,0.002332259,0.009235186],"category_scores_gemma":[0.1211763,0.0007016262,0.002611135,0.03720858,0.004921831,0.01379189,0.005627447,0.002391766,0.001898246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003759171,"about_ca_system_score_gemma":0.002560699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008224787,"about_ca_topic_score_gemma":0.004474686,"domain_scores_codex":[0.9794031,0.01103901,0.001714859,0.00214406,0.004419785,0.001279106],"domain_scores_gemma":[0.845721,0.1188195,0.01890178,0.006098079,0.007821252,0.002638285],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006471386,0.0006474307,0.8817465,0.0005500056,0.001558057,0.0004348791,0.00418854,0.01909719,0.0004946248,0.02647464,0.00173885,0.06242218],"study_design_scores_gemma":[0.0004313374,0.001494257,0.6330743,0.0006433933,0.001349818,0.001193282,0.01199221,0.223072,0.0009123169,0.113517,0.01202624,0.0002937831],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9045992,0.001908621,0.05388291,0.00453531,0.0001600201,0.001378684,0.002823165,0.0004305683,0.03028149],"genre_scores_gemma":[0.9861806,0.0004650854,0.01006284,0.0001236749,0.00006616749,0.0008145825,0.0007150315,0.00006737324,0.001504683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9751314,"threshold_uncertainty_score":0.1401041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4232670071857169,"score_gpt":0.5098591079363572,"score_spread":0.08659210075064039,"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."}}