{"id":"W6892312280","doi":"10.5061/dryad.g1hk2","title":"Data from: Noise affects resource assessment in an invertebrate","year":2017,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Hermit crab; Noise (video); Resource (disambiguation); Selection (genetic algorithm); Invertebrate; Noise pollution; Affect (linguistics); Traffic noise","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":[0.001076,0.001647666,0.00102704,0.00266613,0.0006626513,0.002203874,0.002144526,0.001606981,0.03721705],"category_scores_gemma":[0.006897714,0.0004225306,0.001447889,0.003875923,0.0004634866,0.0009739927,0.00217414,0.001271644,0.03150887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001231234,"about_ca_system_score_gemma":0.001800088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02750622,"about_ca_topic_score_gemma":0.04900209,"domain_scores_codex":[0.9990382,0.0001744486,0.0001863034,0.0002648585,0.0002004912,0.0001358203],"domain_scores_gemma":[0.9981704,0.0006755667,0.0002982334,0.0003230631,0.0003894742,0.0001433392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002113548,0.00004991877,0.008845466,0.003520289,0.0001828525,0.0001221738,0.0001334396,0.0009574685,0.0003379505,0.0007828858,0.9781251,0.006731099],"study_design_scores_gemma":[0.0004610416,0.00003937829,0.02814594,0.001148417,0.0001481293,0.0001860951,0.0003132332,0.001350159,0.0005955055,0.002161053,0.9653698,0.00008117049],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004976646,0.0001506269,0.00006932323,0.0001219373,0.00002416707,0.00001182036,0.998471,0.0002291529,0.0004244783],"genre_scores_gemma":[0.001970947,0.000155982,0.0003714844,0.0000576188,0.000009200134,0.0000982506,0.9968274,0.0000644262,0.0004447791],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03721705,"threshold_uncertainty_score":0.1245034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05963442705485497,"score_gpt":0.3475501246726506,"score_spread":0.2879156976177957,"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."}}