{"id":"W6913012102","doi":"10.5683/sp3/cz2t9e","title":"Supplemental data for: Environmental and ecological factors, but not agricultural activity, are associated with brain size among populations of creek chub (Semotilus atromaculatus) in Southwestern Ontario, Canada","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Agriculture; Population size; Invertebrate; Ecological agriculture; Logging","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007006654,0.001346132,0.001339908,0.002713451,0.002396945,0.002252792,0.002538041,0.001210786,0.125986],"category_scores_gemma":[0.006154208,0.0008452587,0.001284489,0.005780597,0.0005105705,0.0007980307,0.001851227,0.001136718,0.04137272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00669581,"about_ca_system_score_gemma":0.01445632,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8971354,"about_ca_topic_score_gemma":0.9625531,"domain_scores_codex":[0.9993942,0.00003398373,0.00005610794,0.0001298661,0.0002043706,0.0001814933],"domain_scores_gemma":[0.9947379,0.0006965172,0.0004371098,0.0005330354,0.002927071,0.0006683281],"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":[0.00004991625,0.0000137285,0.00551282,0.0005026462,0.00005064467,0.00001691403,0.0000640371,0.0001403414,0.00008008494,0.0001638643,0.9918177,0.001587269],"study_design_scores_gemma":[0.0005818845,0.00002171269,0.1642528,0.001119454,0.0001736559,0.00007805511,0.0003815406,0.0005401255,0.0003520708,0.0008114099,0.8315997,0.00008751292],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001462973,0.00003074661,0.00001889567,0.0000328604,0.00001052351,0.000006182081,0.9993698,0.00005357582,0.0003309791],"genre_scores_gemma":[0.001203687,0.00005288807,0.0002068532,0.00003526564,0.000006309697,0.00006983808,0.9968979,0.00004325957,0.001483957],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.125986,"threshold_uncertainty_score":0.4214652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0396636009379703,"score_gpt":0.2547502477212867,"score_spread":0.2150866467833164,"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."}}