{"id":"W6997433582","doi":"","title":"Yhteisöön perustuvan arkeologian kehittäminen Suomessa : Sosiaalisiin muutoksiin vaikuttavaa arkeologista käytäntöä kohti","year":2019,"lang":"fi","type":"other","venue":"Työväentutkimus Vuosikirja","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Data collection; Government (linguistics); Quarter (Canadian coin)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001747519,0.0004048782,0.000332965,0.0008677572,0.004925625,0.01085659,0.0006820699,0.001921514,0.04353296],"category_scores_gemma":[0.002319345,0.0002979951,0.0003327711,0.001274781,0.003590427,0.005050796,0.005659125,0.002912811,0.008007224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004143309,"about_ca_system_score_gemma":0.005414627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01300573,"about_ca_topic_score_gemma":0.05470843,"domain_scores_codex":[0.9987469,0.0004417789,0.00005173095,0.0002513283,0.0002479557,0.0002603093],"domain_scores_gemma":[0.9984236,0.0004790307,0.0001709247,0.0001547451,0.0004715647,0.0003001574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002642616,0.0001665132,0.02891631,0.001173477,0.00007600657,0.002194805,0.1114321,0.000339565,0.01100085,0.394271,0.1883727,0.2617923],"study_design_scores_gemma":[0.000005939191,0.00003661049,0.009002487,0.0002775661,0.00001435137,0.0002828104,0.02715748,0.00008988559,0.001119059,0.008318343,0.9536734,0.00002196155],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1019493,0.02842497,0.009812851,0.1170013,0.0021828,0.000128677,0.0008248396,0.0005267077,0.7391485],"genre_scores_gemma":[0.32411,0.01085552,0.005382586,0.006932425,0.0005767395,0.0001425605,0.0004697332,0.0002886107,0.6512418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04353296,"threshold_uncertainty_score":0.1456323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02008793081302412,"score_gpt":0.2582488977626123,"score_spread":0.2381609669495882,"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."}}