{"id":"W4213144810","doi":"10.1016/j.tree.2022.02.003","title":"Games researchers play: conceptual advancement versus validation strategies","year":2022,"lang":"en","type":"article","venue":"Trends in Ecology & Evolution","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; Université de Montréal","funders":"","keywords":"Odds; Perspective (graphical); Outcome (game theory); Management science; Conceptual framework; Data science; Computer science; Knowledge management; Sociology; Artificial intelligence; Engineering; Economics; Social science; Machine learning; Microeconomics","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":[0.05361936,0.001909898,0.001460087,0.007708917,0.003093463,0.01624698,0.004156508,0.005529223,0.01157389],"category_scores_gemma":[0.2428358,0.001254432,0.001292753,0.003082105,0.009153884,0.0168737,0.01161484,0.004695956,0.001711184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003770049,"about_ca_system_score_gemma":0.005952782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00281757,"about_ca_topic_score_gemma":0.004625075,"domain_scores_codex":[0.9623525,0.02667714,0.001369845,0.002680119,0.004759126,0.002161309],"domain_scores_gemma":[0.7169313,0.2324878,0.01304201,0.01507854,0.01146491,0.01099529],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002181741,0.0007739078,0.07528196,0.0006795109,0.0007026701,0.0004065234,0.02684211,0.006202594,0.003509011,0.7148729,0.01024071,0.1583064],"study_design_scores_gemma":[0.0006075712,0.0005921383,0.01854306,0.0004708434,0.0004822837,0.0002954234,0.02451523,0.05586721,0.002981327,0.8630295,0.03246941,0.0001458695],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.604968,0.002530945,0.1634918,0.03883508,0.0008399391,0.001017439,0.0003128132,0.0005879629,0.187416],"genre_scores_gemma":[0.9672986,0.0003086235,0.02458505,0.0009873362,0.00009921883,0.000352304,0.0001067006,0.0001063564,0.00615584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9463806,"threshold_uncertainty_score":0.2835696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6263016262214871,"score_gpt":0.5878043241387226,"score_spread":0.03849730208276447,"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."}}