{"id":"W6927471123","doi":"10.3389/fevo.2023.1156853.s010","title":"Table_1_Risky business: relating probability of direct contact to risk of chronic wasting disease.DOCX","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Innovations in Concrete and Construction Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chronic wasting disease; Transmission (telecommunications); Social contact; Wildlife disease; Habitat; Disease; Disease transmission","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005727876,0.000897545,0.0007586697,0.001918404,0.0007783878,0.0009498328,0.001792014,0.0007546872,0.4964819],"category_scores_gemma":[0.00948773,0.0004970533,0.001095226,0.001870294,0.0001761514,0.001326128,0.0006823884,0.001240397,0.04039787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001037841,"about_ca_system_score_gemma":0.001749659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1674858,"about_ca_topic_score_gemma":0.1542985,"domain_scores_codex":[0.9997085,0.00004317056,0.00003253449,0.00006078185,0.00008959549,0.00006535372],"domain_scores_gemma":[0.994072,0.003449532,0.000655628,0.0002161812,0.001284688,0.000321853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002480664,0.0001791711,0.117337,0.001557114,0.0001858142,0.0001233489,0.000184364,0.001338991,0.0001503172,0.0007900898,0.8597322,0.01817354],"study_design_scores_gemma":[0.0009850869,0.0003128831,0.6963969,0.002471613,0.0003596458,0.001055054,0.002008961,0.009858181,0.0006184251,0.003332165,0.2824412,0.0001599709],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005637643,0.0000767279,0.0003532315,0.00022757,0.00005968347,0.0001154099,0.9889194,0.0002852661,0.004325052],"genre_scores_gemma":[0.137063,0.000671755,0.008235809,0.001218443,0.0002827551,0.001740805,0.7971528,0.001219265,0.05241539],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4964819,"threshold_uncertainty_score":0.7182075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387865809958896,"score_gpt":0.24134274444939,"score_spread":0.2174640863498011,"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."}}