{"id":"W6929571632","doi":"10.5061/dryad.8kprr4xr5","title":"Selfish herd effects depend on prey crypsis","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Theoretical and Computational Physics","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"TSG101; Nucleofection; Hyporeflexia; Tubulopathy; Proteogenomics; Fusible alloy","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":[0.0008618982,0.001238102,0.001214195,0.001548102,0.0006354195,0.001797602,0.001737465,0.001367149,0.0160902],"category_scores_gemma":[0.00448274,0.0004223611,0.001620667,0.002655522,0.0003689408,0.0009207416,0.001285085,0.0007914945,0.01473837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000965617,"about_ca_system_score_gemma":0.0006256519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01595719,"about_ca_topic_score_gemma":0.03013319,"domain_scores_codex":[0.9992718,0.0001107188,0.00008174428,0.0003144037,0.0001284471,0.00009296389],"domain_scores_gemma":[0.9986523,0.0006171777,0.0002065864,0.0002862274,0.0001716997,0.00006607155],"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":[0.0009152469,0.0001785224,0.06879609,0.006635068,0.0009327069,0.0002561376,0.0001519484,0.007039531,0.00240316,0.002652114,0.8907663,0.01927314],"study_design_scores_gemma":[0.001167609,0.0001457768,0.2637621,0.0009768102,0.0005912127,0.0007425162,0.0002229035,0.01399219,0.002743148,0.008747623,0.7067527,0.0001553149],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00884448,0.0008102154,0.0003486187,0.0001837622,0.00004779726,0.00001741766,0.9878968,0.0004463907,0.001404536],"genre_scores_gemma":[0.01047421,0.0001933874,0.0005873264,0.00007824498,0.000009070566,0.00006345245,0.9877915,0.00006602726,0.0007367387],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0160902,"threshold_uncertainty_score":0.05382711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01204311971739406,"score_gpt":0.2278466456437059,"score_spread":0.2158035259263118,"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."}}