{"id":"W3000539869","doi":"10.3354/meps13230","title":"Accounting for the bin structure of data removes bias when fitting size spectra","year":2020,"lang":"en","type":"article","venue":"Marine Ecology Progress Series","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Fisheries and Oceans Canada","funders":"European Commission; Princeton University","keywords":"Bin; Data set; Statistics; Set (abstract data type); Computer science; Econometrics; Mathematics; Algorithm","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":[0.03917469,0.002360506,0.00188164,0.004151883,0.001520181,0.003768956,0.002968406,0.002130346,0.008351674],"category_scores_gemma":[0.1742219,0.001369116,0.003076294,0.004876213,0.001524844,0.004935228,0.003083021,0.00382036,0.004398275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00106973,"about_ca_system_score_gemma":0.002279932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007858074,"about_ca_topic_score_gemma":0.01292203,"domain_scores_codex":[0.9856926,0.007892608,0.001547278,0.00272873,0.001714553,0.0004242689],"domain_scores_gemma":[0.8942241,0.07903673,0.004128529,0.01587792,0.006192638,0.0005401214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001271485,0.0005351303,0.1911726,0.002300229,0.003090293,0.0007709882,0.005279824,0.1285447,0.02406228,0.02521713,0.04162726,0.5761281],"study_design_scores_gemma":[0.0002306674,0.0003484127,0.08526476,0.0005842655,0.0004769281,0.0008838924,0.001021912,0.7173712,0.02965702,0.0793875,0.08418804,0.0005853195],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03780967,0.0003338501,0.939267,0.0003491483,0.0002231343,0.00046557,0.003522636,0.016169,0.001860035],"genre_scores_gemma":[0.1804987,0.0001734831,0.7987979,0.0003816073,0.00006506342,0.001159006,0.006210181,0.01101883,0.001695317],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03917469,"threshold_uncertainty_score":0.2071781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04608505555913305,"score_gpt":0.2789256601432012,"score_spread":0.2328406045840682,"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."}}