{"id":"W2460946865","doi":"10.5281/zenodo.32466","title":"FLOCK & TRACE 3.1","year":2015,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Flock; TRACE (psycholinguistics); Computer science; Biology; Ecology; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001929057,0.002161453,0.001425705,0.00267855,0.0007209054,0.002576061,0.005617202,0.001574776,0.312833],"category_scores_gemma":[0.007052327,0.002445323,0.001410295,0.001288319,0.0009238159,0.003242698,0.003331994,0.002063616,0.1837586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008737393,"about_ca_system_score_gemma":0.001639159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003704675,"about_ca_topic_score_gemma":0.004460591,"domain_scores_codex":[0.9989436,0.0001040738,0.00008429695,0.0003356006,0.0003815562,0.0001508869],"domain_scores_gemma":[0.9975386,0.000953475,0.0002602072,0.0004118963,0.0006386836,0.0001971804],"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":[0.0007407406,0.0001296001,0.001974485,0.001855217,0.0001141649,0.0002156309,0.0002857556,0.002349845,0.00602395,0.01059041,0.6724274,0.3032928],"study_design_scores_gemma":[0.00026571,0.0001172984,0.002543024,0.0003388177,0.00007046679,0.0003919452,0.00006349161,0.01584574,0.0163932,0.01023522,0.9535804,0.0001545124],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.00306644,0.0007021682,0.211986,0.0005011553,0.000277962,0.0007774718,0.05057651,0.6517429,0.08036947],"genre_scores_gemma":[0.02160125,0.0007054235,0.4608406,0.00152263,0.0001715394,0.002770976,0.08110997,0.2680618,0.1632158],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.312833,"threshold_uncertainty_score":0.9801603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08221783738568797,"score_gpt":0.2963160950300838,"score_spread":0.2140982576443959,"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."}}