{"id":"W7093749184","doi":"","title":"Canada Lily","year":2010,"lang":"","type":"other","venue":"Sycamore Scholars (Indiana State University)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Natural (archaeology); Identification (biology); Government (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001138009,0.001166733,0.001741509,0.001537666,0.0007288227,0.000502469,0.002281461,0.001264678,0.01634297],"category_scores_gemma":[0.0002875363,0.001664437,0.0005352713,0.001985649,0.0003819795,0.0007311315,0.0005824529,0.003478566,0.001008546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002154958,"about_ca_system_score_gemma":0.003490753,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7450539,"about_ca_topic_score_gemma":0.9410338,"domain_scores_codex":[0.9944812,0.0001850116,0.001243655,0.002150792,0.0002995483,0.00163981],"domain_scores_gemma":[0.9945417,0.0001381849,0.002010598,0.001972034,0.0002582158,0.001079235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005440655,0.0009830392,0.3594748,0.001449214,0.004648751,0.01035776,0.001178018,0.0001986857,0.00004575046,0.5033551,0.0970765,0.02068829],"study_design_scores_gemma":[0.001465663,0.00007054119,0.02341464,0.000131514,0.00008115899,0.00000820429,0.0001560134,0.0001245885,0.000006318686,0.004832063,0.9678311,0.001878163],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2116229,0.001516922,0.0004226819,0.001098179,0.006778352,0.001173421,0.02515488,0.0001037198,0.752129],"genre_scores_gemma":[0.2189531,0.003756396,0.0005393007,0.0008312912,0.0003670784,0.000002159813,0.0004301807,0.0005158064,0.7746047],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8707547,"threshold_uncertainty_score":0.9997693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008261863247551298,"score_gpt":0.1682177503026653,"score_spread":0.159955887055114,"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."}}