{"id":"W7001518562","doi":"","title":"Kisällistä työväen herättäjäksi. Yrjö Mäkelinin Tampereen aika nuoruusvuosista suurlakkoon","year":2013,"lang":"fi","type":"other","venue":"Trepo - Institutional Repository of Tampere University","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Context (archaeology); Agriculture; Population","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","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","insufficient_payload"],"category_scores_codex":[0.0008378114,0.00251817,0.003027695,0.002156563,0.002638827,0.0002960118,0.003585785,0.002867811,0.01242404],"category_scores_gemma":[0.0005212031,0.002957944,0.002077566,0.001739668,0.006457206,0.001770768,0.001216076,0.002280969,0.01332034],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005353096,"about_ca_system_score_gemma":0.005383435,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01731649,"about_ca_topic_score_gemma":0.001002297,"domain_scores_codex":[0.987841,0.001334764,0.002327307,0.003393289,0.003267018,0.001836697],"domain_scores_gemma":[0.9885461,0.0004979891,0.003949056,0.003399014,0.002160119,0.001447776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.007008933,0.0122962,0.05357679,0.005553756,0.01476888,0.01667416,0.004433705,0.004942516,0.1005479,0.1559489,0.6175344,0.006713846],"study_design_scores_gemma":[0.004050988,0.0004932663,0.01411467,0.002428355,0.001885083,0.0009159968,0.001398052,0.0004102063,0.003022611,0.00007112085,0.9683151,0.002894513],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1719019,0.002018288,0.000220535,0.0003180526,0.003687455,0.002309746,0.003697134,0.0007654373,0.8150815],"genre_scores_gemma":[0.2517204,0.0004346716,0.002296365,0.00008937818,0.001518004,0.00001251854,0.00134153,0.0006573849,0.7419297],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3507808,"threshold_uncertainty_score":0.9987555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01382574324049683,"score_gpt":0.2056461108715716,"score_spread":0.1918203676310748,"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."}}