{"id":"W7067423050","doi":"","title":"Luonnonmukaisia rakennusmateriaaleja ja vähähiilisen rakentamisen ohjauskeinoja","year":2023,"lang":"fi","type":"other","venue":"Theseus (Ammattikorkeakoulujen)","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Government (linguistics); Context (archaeology)","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":[0.002044541,0.0006476476,0.0004335862,0.0009198819,0.003876827,0.01001689,0.001263041,0.002377842,0.1073529],"category_scores_gemma":[0.003512753,0.0004251774,0.0004944981,0.0006918118,0.002106062,0.004644036,0.003746972,0.002524229,0.03883244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004468429,"about_ca_system_score_gemma":0.00588415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009719256,"about_ca_topic_score_gemma":0.02953871,"domain_scores_codex":[0.9981751,0.0003081053,0.00008567647,0.0003325223,0.0008068245,0.0002916292],"domain_scores_gemma":[0.9970635,0.0006944114,0.0001970846,0.0003719455,0.001217598,0.000455478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003592428,0.0002963828,0.005278591,0.000859465,0.00003971322,0.001138555,0.009602755,0.0006494131,0.01942793,0.1984039,0.3738487,0.3900952],"study_design_scores_gemma":[0.000003748863,0.00002975577,0.001113653,0.0001252124,0.000009216114,0.0001696873,0.0017504,0.0002598937,0.002571725,0.003833038,0.9901155,0.00001822139],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01474822,0.006608926,0.01217329,0.02871529,0.005730701,0.0001215895,0.0003710667,0.0009717846,0.9305591],"genre_scores_gemma":[0.06977972,0.004777476,0.009599653,0.003938944,0.000913583,0.00009997149,0.0002645521,0.0004123895,0.9102137],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1073529,"threshold_uncertainty_score":0.3591313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02389373651869716,"score_gpt":0.2611972872708098,"score_spread":0.2373035507521127,"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."}}