{"id":"W1924001847","doi":"10.47678/cjhe.v37i1.183544","title":"Predicting Individual Research Productivity: More than a Question of Time","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Higher Education","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; University of Regina","funders":"","keywords":"Productivity; Exploratory research; Perception; Socialization; Psychology; Public relations; Social psychology; Higher education; Marketing; Sociology; Political science; Social science; Economics; Business; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.008905527,0.00024179,0.0003543438,0.002634158,0.0007839646,0.002622155,0.000975567,0.0006463077,0.002656812],"category_scores_gemma":[0.03988678,0.0001756164,0.0004708556,0.003153795,0.001313015,0.002316872,0.001150919,0.0006219095,0.000511179],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009413411,"about_ca_system_score_gemma":0.001263361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006301488,"about_ca_topic_score_gemma":0.00708892,"domain_scores_codex":[0.9943845,0.00213816,0.0006485789,0.0007003426,0.001651485,0.0004769464],"domain_scores_gemma":[0.8969897,0.06281485,0.02217605,0.004327404,0.004602996,0.009089094],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005433942,0.0001602719,0.9741858,0.00007112038,0.0001432737,0.00006209344,0.003492784,0.0003041404,0.0003062228,0.0003505724,0.0004259966,0.02044343],"study_design_scores_gemma":[0.000009481928,0.0001511403,0.9910323,0.00004975481,0.00002971495,0.0001038757,0.004643962,0.0009764415,0.0001599673,0.001095642,0.001727035,0.00002052011],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930265,0.0006906985,0.001600802,0.0007700689,0.00002895974,0.00002498286,0.0001783376,0.00001888626,0.003660784],"genre_scores_gemma":[0.9981474,0.0002480622,0.0008769454,0.00009990967,0.00002917809,0.0000197715,0.0001313403,0.000007818928,0.0004396449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9990587,"threshold_uncertainty_score":0.0470975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5048919024519153,"score_gpt":0.5947720797289903,"score_spread":0.08988017727707498,"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."}}