{"id":"W6930904857","doi":"10.5281/zenodo.15755242","title":"Otsekülvi kasutus Eestis ja selle valikut mõjutavad tegurid tootjate küsitlusuuringu andmetel","year":2025,"lang":"et","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"European commission; Work (physics); Commission; Horizon","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002051435,0.001420657,0.001383108,0.00186092,0.00235006,0.008395425,0.002137363,0.002377653,0.2054139],"category_scores_gemma":[0.006521236,0.000600758,0.0009075074,0.00229844,0.00152548,0.008109728,0.006648821,0.00208611,0.1255648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001750789,"about_ca_system_score_gemma":0.002645091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001545754,"about_ca_topic_score_gemma":0.003590979,"domain_scores_codex":[0.9967315,0.0004383349,0.0001404148,0.0007129217,0.001391486,0.0005853106],"domain_scores_gemma":[0.9947835,0.001068682,0.0004409351,0.001266999,0.001378457,0.00106149],"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":[0.001487792,0.0003512305,0.00450166,0.001199588,0.0001034641,0.0006683834,0.0009891255,0.002746722,0.01930608,0.104295,0.2073866,0.6569644],"study_design_scores_gemma":[0.00005565592,0.0001280515,0.001696991,0.0001965005,0.00003740476,0.0007653459,0.0004720476,0.005471569,0.02165972,0.04023539,0.9292071,0.00007413259],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03279316,0.007298152,0.1276542,0.01317069,0.0079527,0.0002507759,0.008509866,0.01335003,0.7890204],"genre_scores_gemma":[0.2014015,0.005468773,0.07400287,0.001594921,0.001671895,0.0002040803,0.01087828,0.01079979,0.6939778],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2054139,"threshold_uncertainty_score":0.6871779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02053293904549319,"score_gpt":0.2446438994059015,"score_spread":0.2241109603604083,"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."}}