{"id":"W6948176097","doi":"10.5061/dryad.cq5h4","title":"Data from: Genetic mating system and mate selection in smallmouth bass","year":2017,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Mating system; Semelparity and iteroparity; Sexual selection; Mating; Inbreeding; Population; Mate choice; Reproductive success; Natural selection","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":[0.0009290047,0.0007857581,0.0008149652,0.003012675,0.00047297,0.001120809,0.001148049,0.0007296872,0.02677858],"category_scores_gemma":[0.004159575,0.0004594764,0.0005607127,0.00475774,0.0002897072,0.0006536181,0.001456134,0.0008491866,0.01245388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007744679,"about_ca_system_score_gemma":0.001477778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03601593,"about_ca_topic_score_gemma":0.05393103,"domain_scores_codex":[0.9993423,0.00007855349,0.000135899,0.0001733612,0.0001570991,0.000112756],"domain_scores_gemma":[0.9980435,0.0005598054,0.0004542221,0.0002887364,0.0004405916,0.0002130623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005694172,0.0001021352,0.06322329,0.003338218,0.000276,0.0002253443,0.0003650542,0.001291449,0.001451927,0.001188548,0.9117648,0.01620373],"study_design_scores_gemma":[0.0008941217,0.0000535174,0.2771139,0.0008999556,0.0002080368,0.0002460649,0.0005042267,0.00152814,0.001454947,0.001571533,0.7154131,0.0001124258],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002053988,0.00003934132,0.00006856826,0.00003166583,0.000007273659,0.00001040989,0.9973866,0.00009119989,0.0003108108],"genre_scores_gemma":[0.003504262,0.00005228946,0.0002747658,0.00001390167,0.000004752379,0.00009932974,0.9956449,0.00004491923,0.000360936],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03601593,"threshold_uncertainty_score":0.08958328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04597117043297512,"score_gpt":0.2965469102630474,"score_spread":0.2505757398300723,"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."}}