{"id":"W7097960270","doi":"","title":"Ronald O’Dor, Census of Marine Life and Dalhousie University","year":2009,"lang":"en","type":"article","venue":"","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Marine life; Government (linguistics); Population","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":[],"consensus_categories":[],"category_scores_codex":[0.00006055181,0.00004110282,0.00008269541,0.00003152206,0.00002746898,0.000002781543,0.00002693573,0.00002700558,0.0001774225],"category_scores_gemma":[0.00005875907,0.00003790389,0.00001655346,0.00005737445,0.0000120758,0.00004193256,0.00001818144,0.00002556217,0.000001759179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007334432,"about_ca_system_score_gemma":0.000008127964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004769196,"about_ca_topic_score_gemma":0.00003834098,"domain_scores_codex":[0.9997187,0.00001067504,0.00009229797,0.00005863621,0.00006796251,0.00005175524],"domain_scores_gemma":[0.9997405,0.000050393,0.00005120179,0.00008098024,0.00003771801,0.00003923244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00005252883,0.0001306733,0.02888855,0.00005357312,0.00001499916,0.000003446504,0.0002081812,0.00003636968,0.0001571209,0.9396498,0.0061351,0.02466968],"study_design_scores_gemma":[0.0008739766,0.00009361978,0.8787361,0.000014116,0.00004049558,0.000006655414,0.00009510323,0.006959881,0.0001527879,0.1034343,0.009436847,0.0001561446],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9520806,0.000008762272,0.002341038,0.001065498,0.00002156851,0.00008014921,0.000008098392,0.00004922853,0.04434503],"genre_scores_gemma":[0.9797757,0.000009713632,0.01824671,0.00006743598,0.00001344722,2.817489e-8,0.000009945358,0.000002450822,0.00187457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8498476,"threshold_uncertainty_score":0.1942652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03970294087197027,"score_gpt":0.2777191850917608,"score_spread":0.2380162442197905,"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."}}