{"id":"W6977017285","doi":"10.6084/m9.figshare.26994910.v1","title":"Additional file 1 of Study methodology impacts density-dependent dispersal observations: a systematic review","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Ecomuseum Zoo","funders":"","keywords":"Biological dispersal; Selection (genetic algorithm); Field (mathematics); Identification (biology)","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01014535,0.001320459,0.002179096,0.008308919,0.0008008242,0.002005074,0.002258999,0.001845458,0.808292],"category_scores_gemma":[0.1474648,0.0009593753,0.003148278,0.01126685,0.0005644189,0.003940261,0.001895981,0.001251484,0.04311133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002740226,"about_ca_system_score_gemma":0.007882175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009293496,"about_ca_topic_score_gemma":0.01782482,"domain_scores_codex":[0.9951042,0.001536813,0.001634146,0.0006636045,0.0007472578,0.0003139485],"domain_scores_gemma":[0.8005851,0.1737716,0.0112467,0.003168024,0.0101858,0.00104275],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0009246515,0.00009610842,0.003318382,0.286679,0.001023242,0.0001110704,0.0004027839,0.0009657678,0.0001253915,0.002883585,0.6806795,0.02279046],"study_design_scores_gemma":[0.02032098,0.0007003587,0.04282413,0.2221269,0.006053905,0.0006555759,0.001680464,0.002667648,0.0007232148,0.01783417,0.6840405,0.0003721761],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"review","genre_scores_codex":[0.0002978257,0.000403899,0.0005326073,0.0003253882,0.00005298515,0.001337565,0.995849,0.0001646715,0.001036073],"genre_scores_gemma":[0.03863143,0.00462095,0.02913534,0.004377386,0.0004626288,0.1239733,0.7698644,0.00124648,0.02768801],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9898546,"threshold_uncertainty_score":0.2734481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5356584359693047,"score_gpt":0.4616090610217533,"score_spread":0.07404937494755143,"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."}}