{"id":"W6931336548","doi":"10.5281/zenodo.5015063","title":"DynamicaLab/data-dynalearn","year":2021,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics); Work (physics)","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003803721,0.0002160337,0.0002315357,0.0003403308,0.000831818,0.001337696,0.004856822,0.0001088408,0.0453539],"category_scores_gemma":[0.0004562084,0.0002287239,0.0000537507,0.0007219314,0.0001177082,0.0002939769,0.007713022,0.0004507425,0.01052322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009740289,"about_ca_system_score_gemma":0.000008654459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001079351,"about_ca_topic_score_gemma":5.00392e-7,"domain_scores_codex":[0.9976279,0.00029916,0.0002224711,0.0009556512,0.0004890614,0.0004057671],"domain_scores_gemma":[0.9972419,0.00001923294,0.0001582571,0.002126803,0.0002470216,0.0002067639],"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":[0.000001544195,0.00004413342,9.202988e-8,0.00004179764,0.00002330944,0.00003316238,0.00005714546,0.00000327963,0.0001348834,0.004191336,0.6829909,0.3124784],"study_design_scores_gemma":[0.000206651,0.00003451543,0.00001129906,0.0001290301,0.000005934846,0.0001044154,0.00002477287,0.01609028,0.00001133433,0.0001466517,0.9829864,0.0002487003],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[4.283104e-7,0.0004808135,0.3572602,0.0006193409,0.0001927442,0.0001639088,0.000139579,0.001531935,0.639611],"genre_scores_gemma":[0.0004929248,0.001158181,0.07875437,0.000951802,0.0006643323,3.874084e-8,0.01350465,0.01482634,0.8896474],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3122297,"threshold_uncertainty_score":0.999699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0479582397098287,"score_gpt":0.2874804686212997,"score_spread":0.239522228911471,"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."}}