{"id":"W2972550348","doi":"10.1111/eea.12825","title":"Female false black widow spiders,<i>Steatoda grossa,</i>recognize webs based on physical and chemical cues","year":2019,"lang":"en","type":"article","venue":"Entomologia Experimentalis et Applicata","topic":"Insect and Arachnid Ecology and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Theridiidae; Biology; SILK; Kairomone; Spider; Ecology; Zoology; Predation; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009082214,0.0003178347,0.0001839904,0.0001982435,0.0001726432,0.0002855773,0.0001483163,0.0002640978,0.001653442],"category_scores_gemma":[0.0001863853,0.0001622197,0.0001514574,0.00005201136,0.0002264445,0.000183308,0.0002694517,0.0002518578,0.0004035552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001340199,"about_ca_system_score_gemma":0.00007502967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006154378,"about_ca_topic_score_gemma":0.00154198,"domain_scores_codex":[0.9999487,0.000007796803,0.000003903094,0.0000182305,0.000006280939,0.0000149619],"domain_scores_gemma":[0.9998099,0.00004054811,0.00007020754,0.00001481094,0.00001285988,0.00005169068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004681609,0.0001305412,0.05497409,0.00005474865,0.00001544513,0.0001226207,0.0001390881,0.00009834918,0.939162,0.0000472964,0.00006905905,0.00471865],"study_design_scores_gemma":[0.00003791135,0.002524552,0.8755538,0.0000218065,0.0000385311,0.000573532,0.0005595258,0.001736487,0.1179444,0.00008959681,0.0009012321,0.00001852949],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994293,0.00004196494,0.0001160628,0.00001050393,0.000001595057,0.000007707064,0.00004320849,0.000007374927,0.0003422932],"genre_scores_gemma":[0.9985632,0.00003703909,0.0004665789,0.00003698473,0.00000315551,0.00001373342,0.0000861123,0.000003384354,0.0007896651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001653442,"threshold_uncertainty_score":0.005531311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01280901860485178,"score_gpt":0.2909898783970707,"score_spread":0.278180859792219,"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."}}