{"id":"W6967189273","doi":"10.48668/ottxne/vi7kp6","title":"Amatrice_CAT5.v20210504.tab","year":2021,"lang":"en","type":"dataset","venue":"CUHK Research Data Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[0.001343112,0.003671909,0.002602817,0.004520009,0.001463348,0.003933512,0.00505871,0.003671356,0.249691],"category_scores_gemma":[0.006542171,0.00127154,0.001790822,0.008172868,0.0008897074,0.002489873,0.003032961,0.002121784,0.3090571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002463581,"about_ca_system_score_gemma":0.003218105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02584269,"about_ca_topic_score_gemma":0.03340759,"domain_scores_codex":[0.9983662,0.0002922851,0.0001768332,0.0005435209,0.0002783541,0.0003428329],"domain_scores_gemma":[0.9965192,0.0009126369,0.000233735,0.0009914651,0.0008690853,0.0004737801],"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":[0.00004356038,0.00001455156,0.0001422173,0.0004307631,0.00001428335,0.000007254401,0.00001140979,0.00009656636,0.00007564516,0.0002062722,0.9982022,0.0007551755],"study_design_scores_gemma":[0.0004422008,0.00004048449,0.001829865,0.0002534509,0.00003558088,0.00005283588,0.000088933,0.0004992262,0.0006151589,0.001208966,0.9948843,0.00004900539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006176462,0.00005074571,0.00004973521,0.000059286,0.00003758033,0.00001253325,0.9984885,0.0006473556,0.000592472],"genre_scores_gemma":[0.0002513381,0.00004349764,0.0001754293,0.00004969197,0.00001156163,0.00007738387,0.9985524,0.0001755275,0.0006630369],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.750309,"threshold_uncertainty_score":0.8352997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.395295085703934,"score_gpt":0.5052243669251737,"score_spread":0.1099292812212397,"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."}}