{"id":"W2591940631","doi":"10.1016/j.respol.2017.02.007","title":"How stars matter: Recruiting and peer effects in evolutionary biology","year":2017,"lang":"en","type":"article","venue":"Research Policy","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":85,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Productivity; Peer effects; Affect (linguistics); Star (game theory); Quality (philosophy); Demographic economics; Psychology; Economics; Social psychology; Physics; Economic growth","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"],"consensus_categories":[],"category_scores_codex":[0.009128488,0.0001982065,0.0005360765,0.001207371,0.002318671,0.004261265,0.0006224248,0.002455113,0.01196936],"category_scores_gemma":[0.03908796,0.0002135929,0.000252085,0.001436891,0.005630991,0.00373379,0.002237503,0.001308522,0.0008210553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009596152,"about_ca_system_score_gemma":0.001199371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002008144,"about_ca_topic_score_gemma":0.005241126,"domain_scores_codex":[0.9944599,0.003965459,0.0001369526,0.000477268,0.0004629298,0.0004975472],"domain_scores_gemma":[0.9316546,0.04992027,0.00448675,0.002523217,0.003307399,0.008107666],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006508965,0.0008708953,0.4610632,0.0003638646,0.000378581,0.0007577301,0.01868213,0.005770835,0.004938287,0.3239972,0.007343868,0.1751825],"study_design_scores_gemma":[0.0001402261,0.0004027448,0.4674367,0.000209992,0.0002407247,0.0004794511,0.02336313,0.007357612,0.001910391,0.466802,0.03155679,0.0001002155],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9065896,0.002677578,0.005281598,0.02429549,0.0001900203,0.00002298833,0.00006825678,0.00003431126,0.06084017],"genre_scores_gemma":[0.9957625,0.0003810753,0.0002942897,0.0006297614,0.0001252371,0.000005521685,0.00001056631,0.00001716376,0.002773896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9908715,"threshold_uncertainty_score":0.0482766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1065508516733066,"score_gpt":0.4018276815682985,"score_spread":0.2952768298949919,"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."}}