{"id":"W6931316093","doi":"10.5281/zenodo.5620963","title":"Coccinella septempunctata Linne","year":2006,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Visual Attention and Saliency Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coccinella septempunctata; Population; Historical record; Predation","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":[0.0001157904,0.0004358247,0.0002317109,0.001703002,0.001123639,0.0003927127,0.000447114,0.0003419189,0.008390933],"category_scores_gemma":[0.00020424,0.0001732811,0.00009218313,0.0007963299,0.0004021567,0.0004480084,0.0005272987,0.0002036205,0.002675416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001193705,"about_ca_system_score_gemma":0.0003965561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09009219,"about_ca_topic_score_gemma":0.2776501,"domain_scores_codex":[0.9998938,0.000006952369,0.000007230244,0.00004214668,0.00002823677,0.00002159598],"domain_scores_gemma":[0.9997353,0.00004509573,0.00006941745,0.00002021986,0.00008879558,0.00004118625],"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":[0.0009784405,0.0002006625,0.6486007,0.001448397,0.0001073528,0.005052161,0.006745434,0.0003782407,0.1351911,0.0003332661,0.009088944,0.1918754],"study_design_scores_gemma":[0.00001057149,0.00009498258,0.9779994,0.00008427688,0.00002498227,0.001178939,0.001590132,0.0001173205,0.002340531,0.00001948098,0.0165293,0.00001016279],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9654261,0.002094191,0.0003135889,0.00008151097,0.00003789485,0.00007222491,0.001714452,0.00006799321,0.03019197],"genre_scores_gemma":[0.986331,0.0008985052,0.0007052596,0.0001592903,0.00001488418,0.0000664729,0.001500482,0.00001538953,0.01030855],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09009219,"threshold_uncertainty_score":0.1791356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02670339393064509,"score_gpt":0.2441932566161578,"score_spread":0.2174898626855127,"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."}}