{"id":"W2194299534","doi":"","title":"Session B4: How Fast do Fish Swim? A Global Assessment of What We Know and What We Don't Know","year":2015,"lang":"en","type":"article","venue":"ScholarWorks@UMassAmherst (University of Massachusetts Amherst)","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Need to know; Session (web analytics); Fish <Actinopterygii>; Computer science; Fishery; Computer security; World Wide Web; Biology","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001183228,0.0004774675,0.0007296227,0.0001629757,0.0006128186,0.0004120625,0.0008793474,0.0004332184,0.001049163],"category_scores_gemma":[0.00006893009,0.0005235933,0.0002062756,0.0007835128,0.001222839,0.008160374,0.001760181,0.0005944685,0.00005823065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007732562,"about_ca_system_score_gemma":0.00007577473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000188574,"about_ca_topic_score_gemma":0.003186742,"domain_scores_codex":[0.9967183,0.0004146383,0.0003082344,0.000931254,0.0009407834,0.000686829],"domain_scores_gemma":[0.9981043,0.0001406347,0.0005487953,0.0006774224,0.0001084137,0.0004203709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000420514,0.0009326641,0.5424567,0.0002940863,0.0007446042,0.0001693531,0.005522816,0.0009523895,0.0002346797,0.0006363199,0.3065556,0.1410802],"study_design_scores_gemma":[0.006218388,0.0009450264,0.3479506,0.001712288,0.000618124,0.00001953484,0.2669205,0.001318147,0.00004766311,0.001671869,0.3712883,0.001289605],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8131989,0.01158145,0.004454837,0.1348229,0.002625093,0.002279849,0.000135168,0.0003829799,0.03051874],"genre_scores_gemma":[0.9459838,0.04295331,0.006436647,0.0006507637,0.00005984935,0.000005292052,0.00003861931,0.00004200706,0.003829775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2613977,"threshold_uncertainty_score":0.999864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01428718131729881,"score_gpt":0.2288830961838729,"score_spread":0.2145959148665741,"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."}}