{"id":"W7133078832","doi":"","title":"Datan laadun arvioiminen metsien hiilinielumittauksissa","year":2023,"lang":"fi","type":"dissertation","venue":"Trepo - Institutional Repository of Tampere University","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Population; Ideal (ethics); 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0002917163,0.0004870661,0.0007522777,0.000158525,0.003015138,0.00004159888,0.001012342,0.0007996735,0.0004078998],"category_scores_gemma":[0.0002545846,0.0003139798,0.0005692285,0.0007178316,0.001372589,0.0004231723,0.0004403431,0.0004996964,0.0003248272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003175149,"about_ca_system_score_gemma":0.0003271709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006499,"about_ca_topic_score_gemma":0.004465768,"domain_scores_codex":[0.9971913,0.0002092815,0.0005458674,0.0009427735,0.0006282233,0.0004825655],"domain_scores_gemma":[0.9978235,0.0004103757,0.0007071577,0.0002387105,0.0005949747,0.0002252688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007196422,0.005019168,0.8005677,0.002265862,0.007432145,0.01007648,0.01007359,0.000842129,0.0512029,0.02685569,0.06386527,0.01460269],"study_design_scores_gemma":[0.0006009759,0.0005392818,0.8305735,0.0002869255,0.0006669984,0.00006210331,0.01759992,0.00004894452,0.001740576,0.00009306677,0.1470601,0.0007276586],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717799,0.000248205,9.503386e-7,0.0005424339,0.002584031,0.0003628263,0.001154361,0.0001373487,0.02318997],"genre_scores_gemma":[0.8791716,0.0004845961,0.00009935546,0.00004006087,0.0003479209,0.000001637013,0.0032675,0.0000035815,0.1165837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09339375,"threshold_uncertainty_score":0.9999312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02831815720815287,"score_gpt":0.2198713703515298,"score_spread":0.1915532131433769,"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."}}