{"id":"W7045798823","doi":"","title":"Asuntomarkkinatekijöiden muutokset Suomessa, 2018-2021","year":2022,"lang":"fi","type":"other","venue":"Theseus (Ammattikorkeakoulujen)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Relation (database); Quarter (Canadian coin); Subject (documents); Public health","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":[0.0008420411,0.0004574572,0.000313915,0.0007988578,0.002462147,0.004263171,0.0005977722,0.001251418,0.1213183],"category_scores_gemma":[0.001535158,0.0002463613,0.0003883642,0.001044864,0.000436849,0.001913864,0.002517034,0.001519389,0.04793599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002309224,"about_ca_system_score_gemma":0.00791965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02449766,"about_ca_topic_score_gemma":0.0671279,"domain_scores_codex":[0.9993994,0.00004653071,0.00003135331,0.00007591914,0.0002459187,0.0002008382],"domain_scores_gemma":[0.9988649,0.0000613028,0.0000765345,0.00003623497,0.0005510957,0.0004099897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003661311,0.0001912356,0.01840357,0.000976277,0.0000214555,0.0007846745,0.00225937,0.0002784525,0.003433954,0.01857471,0.7695121,0.1851981],"study_design_scores_gemma":[0.000006508766,0.00002394589,0.01054384,0.0001251669,0.000005657384,0.00008986514,0.001297999,0.00009913517,0.0004366343,0.0004280261,0.9869343,0.000008866326],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08433467,0.01133762,0.003099517,0.0279296,0.01169797,0.000549858,0.04624413,0.002410445,0.8123962],"genre_scores_gemma":[0.09171152,0.007057352,0.003385277,0.003065866,0.0006272783,0.0003548895,0.02439773,0.000597763,0.8688022],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1213183,"threshold_uncertainty_score":0.4058502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01638819780020879,"score_gpt":0.2656247750412516,"score_spread":0.2492365772410429,"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."}}