{"id":"W6929462577","doi":"10.5061/dryad.mb2d353","title":"Data from: How many cubs can a mum nurse? Maternal age and size influence litter size in polar bears","year":2019,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Litter; Reproduction; Maternal effect; Affect (linguistics); Offspring; Life history theory; Reproductive success","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.000603031,0.000531973,0.0006240064,0.00004612507,0.00016883,0.000177937,0.00414193,0.0003693931,0.0003755362],"category_scores_gemma":[0.00005904667,0.0004663169,0.00002505956,0.0001367997,0.0005135948,0.0005777507,0.00878304,0.0008733539,0.0001658455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003742961,"about_ca_system_score_gemma":0.0000227802,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06011423,"about_ca_topic_score_gemma":0.1362346,"domain_scores_codex":[0.9965643,0.000415332,0.0003775686,0.001653211,0.000240165,0.0007494186],"domain_scores_gemma":[0.9957685,0.0007458652,0.000232833,0.003053612,0.000003625615,0.0001955233],"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":[0.0002593973,0.0000816481,0.4243996,0.000309984,0.0001343049,0.0005186084,0.0005478965,0.00006124108,0.0005040712,0.000001307541,0.5717018,0.00148014],"study_design_scores_gemma":[0.0003928522,0.00004652352,0.5940033,0.0002257661,0.00009276521,0.00004464516,0.00007120765,0.00196591,9.843394e-7,0.00009722343,0.402649,0.0004099184],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.414954,0.0001548328,0.000003466587,0.0002185692,0.0002290782,0.0001993419,0.5841651,0.00001621701,0.00005939506],"genre_scores_gemma":[0.05067462,0.001313556,0.000571693,0.001873702,0.0002740496,0.00001232509,0.9449475,0.00003260754,0.0002998872],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3642794,"threshold_uncertainty_score":0.9997789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01239197627679197,"score_gpt":0.2392804263277617,"score_spread":0.2268884500509697,"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."}}