{"id":"W4398815175","doi":"10.7910/dvn/u1jec0/mz9hv1","title":"CanIncCats.tab","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009893314,0.001933999,0.001116566,0.005584589,0.0007445652,0.003143413,0.002205789,0.001549639,0.3183092],"category_scores_gemma":[0.006591542,0.0009822961,0.001074198,0.01110442,0.0004306205,0.002176144,0.002192786,0.001660897,0.2987623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001660687,"about_ca_system_score_gemma":0.002054853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01631845,"about_ca_topic_score_gemma":0.02304239,"domain_scores_codex":[0.9989641,0.0001149064,0.0001328615,0.0002660152,0.000260497,0.000261664],"domain_scores_gemma":[0.9967375,0.0007628131,0.0003326995,0.0009480525,0.0008595433,0.0003594004],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000208883,0.000007963054,0.0002635005,0.0001731177,0.000006429188,0.000004837295,0.000009695848,0.0000626396,0.00002981682,0.0005567707,0.9976568,0.001207492],"study_design_scores_gemma":[0.0001155736,0.000006786912,0.001621751,0.0001101187,0.00000836514,0.00001900308,0.00004297118,0.0001583837,0.000226784,0.001404458,0.9962698,0.00001601033],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004131978,0.00001245021,0.00003679367,0.00004283473,0.00001712371,0.000005235905,0.9980026,0.0004493067,0.001392441],"genre_scores_gemma":[0.000380809,0.00003893948,0.0001830981,0.00006506333,0.0000117703,0.0000469368,0.9974443,0.0003294569,0.001499662],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9990107,"threshold_uncertainty_score":0.9723492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0673445353307743,"score_gpt":0.3185290120286743,"score_spread":0.2511844766979,"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."}}