{"id":"W6976857381","doi":"10.6084/m9.figshare.26994910","title":"Additional file 1 of Study methodology impacts density-dependent dispersal observations: a systematic review","year":2024,"lang":"en","type":"article","venue":"Open MIND","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009438789,0.001387106,0.00244326,0.008094246,0.0007957636,0.001861522,0.00217011,0.001802374,0.7576924],"category_scores_gemma":[0.1353239,0.0009244723,0.003440582,0.01114079,0.0005466043,0.003813074,0.00179376,0.001237135,0.03133695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002975512,"about_ca_system_score_gemma":0.008457763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01090576,"about_ca_topic_score_gemma":0.021684,"domain_scores_codex":[0.9954136,0.001351492,0.00161275,0.0006216679,0.00070937,0.0002912137],"domain_scores_gemma":[0.8320413,0.1443661,0.01097605,0.002612091,0.009138481,0.0008659991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"systematic_review","study_design_scores_codex":[0.001041088,0.0001047699,0.003665652,0.4254521,0.001341484,0.0001243042,0.0004395817,0.0009782733,0.0001541545,0.00282102,0.5418078,0.02206976],"study_design_scores_gemma":[0.02142536,0.000754619,0.04798204,0.3054238,0.008642151,0.0007061743,0.001779069,0.002780723,0.0007948728,0.01563353,0.5936921,0.0003855724],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0003915615,0.0006173206,0.0005527144,0.0003560777,0.00005766132,0.001624766,0.9952747,0.0001438869,0.0009813396],"genre_scores_gemma":[0.04330065,0.00651542,0.02834287,0.004316495,0.000491628,0.14054,0.7487484,0.0009305938,0.02681396],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7576924,"threshold_uncertainty_score":0.3456224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5143131977030272,"score_gpt":0.4897323106262074,"score_spread":0.02458088707681977,"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."}}