{"id":"W6931008191","doi":"10.5281/zenodo.6004724","title":"Haidoterminus","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arthropod mouthparts; Scape; Range (aeronautics); Key (lock); Taxonomy (biology)","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":[0.0001492089,0.0003585339,0.0001381643,0.0006024035,0.0009908798,0.0005090315,0.0003109649,0.0003607147,0.06140802],"category_scores_gemma":[0.0003358838,0.0001081313,0.0001207327,0.0002774325,0.0002556874,0.0002664802,0.0008577753,0.0003419671,0.01504893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004176823,"about_ca_system_score_gemma":0.0007738729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005702229,"about_ca_topic_score_gemma":0.0122567,"domain_scores_codex":[0.9998986,0.000009126254,0.000004772364,0.00003075109,0.00002667562,0.00003005714],"domain_scores_gemma":[0.9998088,0.000024625,0.00003128994,0.00001398496,0.00003567376,0.00008559078],"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":[0.001045468,0.0001335057,0.05170027,0.001353575,0.00005001864,0.004188735,0.001083039,0.0003590783,0.01563233,0.01195949,0.1143702,0.7981243],"study_design_scores_gemma":[0.00003642608,0.00008729276,0.06075069,0.0001766372,0.00001610297,0.007101266,0.0005752766,0.0001817728,0.002818325,0.0009164318,0.9273235,0.00001627775],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2471042,0.011823,0.002831013,0.001665177,0.001622461,0.0002955633,0.007950289,0.0005657806,0.7261425],"genre_scores_gemma":[0.7626556,0.004920821,0.007807212,0.0009801169,0.0004583826,0.0001781375,0.006351085,0.0001529892,0.2164956],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06140802,"threshold_uncertainty_score":0.2054303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1863186474384662,"score_gpt":0.3769455963891002,"score_spread":0.190626948950634,"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."}}