{"id":"W7062721459","doi":"","title":"Talvenkestävyys ja sokerit vadelman versoissa ja silmuissa","year":2013,"lang":"fi","type":"other","venue":"Jukuri (Natural Resources Institute Finland (Luke))","topic":"Superconducting Materials and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistical analysis; Affect (linguistics); Physical activity","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":[0.000404413,0.00072507,0.0005502415,0.0008620285,0.00122214,0.002210589,0.0005397301,0.0006115888,0.02282323],"category_scores_gemma":[0.0003822648,0.0003521232,0.0006194329,0.000581077,0.000529994,0.0007309975,0.00117084,0.001068432,0.009209657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002157632,"about_ca_system_score_gemma":0.001845292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01048186,"about_ca_topic_score_gemma":0.02616822,"domain_scores_codex":[0.9996437,0.00002747182,0.00003007749,0.0001292357,0.0001018896,0.00006767662],"domain_scores_gemma":[0.9997764,0.00002686999,0.00003213192,0.00001898479,0.00009369278,0.00005181688],"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":[0.004414855,0.0007940073,0.0321186,0.002110432,0.0002175754,0.003033876,0.005367954,0.001883029,0.4422337,0.008207782,0.0234976,0.4761206],"study_design_scores_gemma":[0.0001117456,0.001262651,0.06488796,0.0004696924,0.0002083868,0.001364391,0.004203104,0.0008609718,0.1070745,0.001570361,0.8178777,0.0001085009],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6849643,0.01805524,0.009490008,0.001827359,0.001562748,0.0002872093,0.006019068,0.001167458,0.2766266],"genre_scores_gemma":[0.5336091,0.006260925,0.008770742,0.0006750866,0.0001111706,0.0001860808,0.00822645,0.0004952219,0.4416651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02282323,"threshold_uncertainty_score":0.07635134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01327424514556356,"score_gpt":0.2232656592010289,"score_spread":0.2099914140554654,"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."}}