{"id":"W6931151846","doi":"10.5281/zenodo.3790579","title":"Alisalia minuta Klimaszewski & Webster 2009, sp. n.","year":2009,"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":"Canadian Forest Service; Natural Resources Canada","funders":"","keywords":"Holotype; Aedeagus; Nearctic ecozone; Paratype; Meristics; Head (geology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001922678,0.001331076,0.0005223269,0.002885258,0.00244511,0.0007571927,0.0009577533,0.0006600095,0.04943557],"category_scores_gemma":[0.0006028791,0.0004362252,0.0003116603,0.002239241,0.001138336,0.002320613,0.001944496,0.001001367,0.016506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001208457,"about_ca_system_score_gemma":0.0005222554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01259101,"about_ca_topic_score_gemma":0.04485952,"domain_scores_codex":[0.9997345,0.00002026726,0.00002467371,0.0001070206,0.00008300348,0.0000305701],"domain_scores_gemma":[0.9997504,0.00002282319,0.0001271807,0.00003233232,0.00004314915,0.00002412686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004027876,0.0001194888,0.0229519,0.001674982,0.0001474441,0.001466354,0.00335665,0.0004719484,0.01037959,0.009690584,0.0882408,0.8610975],"study_design_scores_gemma":[0.0000381214,0.0001109601,0.1232411,0.0006140678,0.000131894,0.002790006,0.001266535,0.0001717094,0.00135428,0.002125432,0.8681339,0.00002206879],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1250732,0.03816358,0.007211934,0.001932602,0.001779132,0.001371206,0.01427471,0.001135955,0.8090575],"genre_scores_gemma":[0.7873577,0.01500206,0.01333315,0.002196213,0.001031389,0.000874288,0.007923355,0.0003481593,0.1719336],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04943557,"threshold_uncertainty_score":0.1653785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04720302168104486,"score_gpt":0.2737599623314125,"score_spread":0.2265569406503676,"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."}}