{"id":"W7070601898","doi":"","title":"Osto- ja myyntikäyttäytymisen muutos korkojen nousun jälkeen Suomen asuntomarkkinoilla","year":2024,"lang":"fi","type":"other","venue":"Theseus (Ammattikorkeakoulujen)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001727538,0.0007707716,0.0006705962,0.0007062848,0.003374941,0.01088446,0.001265897,0.002160992,0.07871732],"category_scores_gemma":[0.003001251,0.0004830005,0.0006230657,0.0006350242,0.002855563,0.005691706,0.004983523,0.003396246,0.03089267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003312634,"about_ca_system_score_gemma":0.004719222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005858825,"about_ca_topic_score_gemma":0.01658094,"domain_scores_codex":[0.9984614,0.0002418661,0.0001020684,0.0003775257,0.0005330626,0.0002840323],"domain_scores_gemma":[0.9976293,0.0006316917,0.0002338967,0.0002795549,0.000805879,0.0004197048],"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":[0.001297825,0.0005278667,0.0115044,0.002387245,0.0001201138,0.003603804,0.02581309,0.0004602432,0.102165,0.2361888,0.1916874,0.4242442],"study_design_scores_gemma":[0.00001318859,0.00007895997,0.003351011,0.0002202213,0.00003177079,0.0006140891,0.004799303,0.0001664078,0.008176945,0.008072626,0.9744307,0.00004479378],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06980396,0.02109803,0.02496013,0.04369428,0.006991679,0.0002067788,0.001365506,0.001447616,0.8304322],"genre_scores_gemma":[0.1498244,0.01102398,0.01356654,0.006247777,0.0008409236,0.0001622009,0.0008473356,0.0008572502,0.8166295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07871732,"threshold_uncertainty_score":0.2633356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.063977255073535,"score_gpt":0.333504028521028,"score_spread":0.269526773447493,"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."}}