{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009979007,0.0006347827,0.0009125489,0.000814964,0.001065042,0.002550754,0.0006941222,0.000765181,0.03474103],"category_scores_gemma":[0.001150271,0.0004099407,0.000876912,0.0009634201,0.0004905657,0.001880908,0.001469468,0.001651131,0.008491893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001329481,"about_ca_system_score_gemma":0.002034129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006773148,"about_ca_topic_score_gemma":0.01606448,"domain_scores_codex":[0.9989308,0.0001336559,0.00009598608,0.0002890008,0.0003913268,0.0001592815],"domain_scores_gemma":[0.9991973,0.0001825189,0.00009567195,0.0000775708,0.0003403666,0.0001066952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.005479385,0.0009485809,0.03589502,0.005547022,0.0004361115,0.001955473,0.003434699,0.0006933761,0.647372,0.008567141,0.02200618,0.2676651],"study_design_scores_gemma":[0.0001208877,0.001383775,0.05792633,0.0006773016,0.000479785,0.001785236,0.005065856,0.0008581117,0.321142,0.002899465,0.6074815,0.0001796978],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.719724,0.03643087,0.0135945,0.005072237,0.001894536,0.0005914852,0.01510761,0.0007971306,0.2067877],"genre_scores_gemma":[0.7140813,0.01603067,0.01722721,0.001902988,0.0002475834,0.0005509335,0.02076805,0.0005537774,0.2286374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03474103,"threshold_uncertainty_score":0.1162203,"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."}}