{"id":"W5673874","doi":"","title":"Comparison of Two Artificial Cover Objects for Sampling Herpetofauna Communities in Missouri","year":2009,"lang":"en","type":"article","venue":"","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Sampling (signal processing); Geography; Cover (algebra); Ecology; Computer science; Archaeology; Engineering; Biology; Computer vision; Filter (signal processing)","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":[0.001490713,0.0002629614,0.0002337664,0.001609065,0.0009080445,0.0009395964,0.000525663,0.0005396072,0.0005071142],"category_scores_gemma":[0.004389241,0.0003035771,0.0002346525,0.001662204,0.0003745515,0.0004186115,0.0008194369,0.0002093291,0.0001075809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001675778,"about_ca_system_score_gemma":0.0009854781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09614471,"about_ca_topic_score_gemma":0.3225265,"domain_scores_codex":[0.998831,0.0004458055,0.00009350844,0.0002026147,0.000342897,0.00008424115],"domain_scores_gemma":[0.9960168,0.001829676,0.0005803331,0.00030867,0.001000835,0.0002636808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000798573,0.0002991439,0.9609775,0.00007437309,0.00009042625,0.00006727328,0.001121578,0.001706788,0.009425207,0.0001666159,0.000167993,0.02510451],"study_design_scores_gemma":[0.00003353187,0.0004073059,0.9905632,0.00001865004,0.00007410807,0.00006708297,0.0006547456,0.005622606,0.001918365,0.00004993562,0.0005788724,0.00001163363],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981536,0.00005857235,0.001065088,0.00001300028,0.000003314718,0.00003470499,0.0001667612,0.00001383545,0.0004910226],"genre_scores_gemma":[0.9926277,0.0001087577,0.006436663,0.0000197127,0.000003749897,0.00009964593,0.0003163798,0.000005540704,0.0003818515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09614471,"threshold_uncertainty_score":0.1911702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1320866947165917,"score_gpt":0.3732095599537196,"score_spread":0.2411228652371279,"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."}}