{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004459131,0.0001063798,0.00009406616,0.0001871904,0.001482189,0.0009375673,0.001131865,0.00004435306,0.002321725],"category_scores_gemma":[0.00007421501,0.0001067901,0.00005160309,0.0007091946,0.0000563008,0.0003957591,0.0007878766,0.0001515543,0.01010801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006898183,"about_ca_system_score_gemma":0.000002143634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001977365,"about_ca_topic_score_gemma":3.586472e-7,"domain_scores_codex":[0.9986131,0.0001886427,0.0002172073,0.0003887037,0.0003170685,0.0002752397],"domain_scores_gemma":[0.9990055,0.00001135233,0.00007569877,0.0004578718,0.0003537819,0.00009579778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000347731,0.0004799509,0.00001929451,0.00006131532,0.00003938939,0.00004034143,0.0006668574,0.0003907483,0.02959498,0.1707836,0.5149974,0.2828914],"study_design_scores_gemma":[0.0003695709,0.0001671351,0.001541954,0.00001006303,0.000004351699,0.0001120045,0.00004208555,0.007956551,0.001352465,0.001307367,0.9869779,0.0001584993],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02619428,0.00008384815,0.6612153,0.001906898,0.0004485265,0.0003912661,0.0000340278,0.003225718,0.3065001],"genre_scores_gemma":[0.9939914,0.00001418977,0.001389692,0.000199422,0.000185478,2.265971e-8,0.0003421003,0.0004170704,0.003460677],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.967797,"threshold_uncertainty_score":0.9998177,"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."}}