{"id":"W6923095894","doi":"10.1371/journal.pone.0115535.t003","title":"Summary of sample sizes of events (&lt;i&gt;n&lt;/i&gt;) and transition probabilities (&lt;i&gt;p&lt;/i&gt;) from multi-state model reproductive analysis of grizzly bears in Alberta, Canada.","year":2015,"lang":"en","type":"dataset","venue":"Figshare","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Grizzly Bears; Sample size determination; Statistical model; Statistical analysis; Reproduction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003064972,0.0004916821,0.00114903,0.0006891132,0.00006454952,0.00004092111,0.001083627,0.0002395463,0.0004746711],"category_scores_gemma":[0.00137587,0.0005340903,0.0002191516,0.001150699,0.0000539868,0.0004407703,0.0003272601,0.0002648662,0.00000367742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003156571,"about_ca_system_score_gemma":0.001695463,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0572083,"about_ca_topic_score_gemma":0.5116069,"domain_scores_codex":[0.9964092,0.000126247,0.0010664,0.001048448,0.0009105545,0.0004391729],"domain_scores_gemma":[0.9961055,0.000816905,0.0006317957,0.001389572,0.0008487331,0.0002074996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002773902,0.0002742478,0.00002652226,0.0009521216,0.0006852263,0.000004691677,0.001937907,0.363028,0.0004124916,0.0000669634,0.6324069,0.000177099],"study_design_scores_gemma":[0.001734087,0.0002705609,0.02076584,0.006362985,0.00126783,0.000006262064,0.000134884,0.8007686,0.0007659049,0.002427655,0.1631093,0.002386118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003748316,0.001644564,0.0005879463,0.0001248608,0.0001485965,0.0004965785,0.9932096,0.00001716439,0.00002234804],"genre_scores_gemma":[0.01469641,0.0001189514,0.00791732,0.00002446129,0.00005575398,0.000143986,0.9768993,0.00003286216,0.0001109172],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4692976,"threshold_uncertainty_score":0.999711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0293537520474975,"score_gpt":0.2411721524784506,"score_spread":0.2118184004309531,"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."}}