{"id":"W4250702362","doi":"10.31234/osf.io/sfrmb","title":"Coordinated Data Analysis: Knowledge Accumulation in Lifespan Developmental Psychology","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Institute on Aging","keywords":"Generalizability theory; Credibility; Data science; Computer science; Context (archaeology); Set (abstract data type); Raw data; Resource (disambiguation); Psychology; Epistemology","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":[0.3610162,0.003360688,0.006533453,0.02861852,0.004749478,0.0161748,0.006837989,0.00386654,0.01103047],"category_scores_gemma":[0.6449969,0.003696035,0.0128282,0.03176304,0.01235695,0.01474518,0.02043463,0.008545183,0.001485439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00675883,"about_ca_system_score_gemma":0.02268955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005084404,"about_ca_topic_score_gemma":0.006385473,"domain_scores_codex":[0.5858895,0.3491642,0.02113979,0.02447627,0.01804849,0.0012817],"domain_scores_gemma":[0.1822939,0.6793238,0.02654334,0.09122586,0.01853658,0.002076526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001434107,0.0003407763,0.01748011,0.02609865,0.02114333,0.0007142362,0.02025709,0.01352513,0.00245465,0.3195479,0.03543455,0.5415695],"study_design_scores_gemma":[0.0005387657,0.0003133208,0.006800937,0.00546823,0.003609547,0.0002542586,0.002100386,0.02103511,0.00186649,0.9028056,0.05479183,0.000415546],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003746131,0.005036863,0.9753327,0.005055789,0.0007739337,0.002774276,0.002026739,0.001782078,0.00347149],"genre_scores_gemma":[0.04210629,0.001724536,0.9446442,0.0009823852,0.0003531558,0.008315734,0.0009475136,0.0005689247,0.0003574089],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3610162,"threshold_uncertainty_score":0.7879808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1471978034134844,"score_gpt":0.4114268309583676,"score_spread":0.2642290275448832,"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."}}