{"id":"W4386129889","doi":"10.22543/0090-0222.1225","title":"<i>Forficula Auricularia</i> L. (Dermaptera: Forficulidae) in Michigan","year":2017,"lang":"en","type":"article","venue":"The Great Lakes Entomologist","topic":"Bryophyte Studies and Records","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Zoology; Auricularia; Ecology; Archaeology; Geography; Botany","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009792154,0.0002139051,0.00009645909,0.001034977,0.001597596,0.0004846531,0.0003352693,0.0003071407,0.01124952],"category_scores_gemma":[0.0001486248,0.0001494286,0.00007013345,0.000768342,0.0002552604,0.0004387663,0.0006324493,0.000335198,0.001844674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001347474,"about_ca_system_score_gemma":0.0004926557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1883663,"about_ca_topic_score_gemma":0.5896576,"domain_scores_codex":[0.999896,0.00001220256,0.000006430739,0.00003068393,0.00003414358,0.000020524],"domain_scores_gemma":[0.9998745,0.000006298876,0.00003860793,0.000004491192,0.00003055639,0.00004555365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003335408,0.0000862323,0.5297062,0.0005695977,0.00005217167,0.003449858,0.004418354,0.0003122432,0.03875862,0.001208321,0.1003197,0.3207851],"study_design_scores_gemma":[0.000004955883,0.00006981193,0.8524116,0.00009858748,0.00001483406,0.001020224,0.0009147027,0.0001220109,0.0007586386,0.00007822771,0.1444984,0.000007949748],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7234288,0.03578769,0.0006797245,0.009483019,0.000387435,0.00009600219,0.008763612,0.0003109694,0.2210627],"genre_scores_gemma":[0.8957489,0.01252058,0.002025484,0.0007339474,0.0003574278,0.00007141558,0.004359463,0.00004180152,0.08414105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1883663,"threshold_uncertainty_score":0.3745397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02111602388819242,"score_gpt":0.2342863622049685,"score_spread":0.2131703383167761,"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."}}