{"id":"W4398920803","doi":"10.7910/dvn/tlahpx/rqrqsu","title":"ddAle_Ott_20140718_05382000.mat","year":2020,"lang":"zh","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001184437,0.002450495,0.001783377,0.004643627,0.001053321,0.003840641,0.00343921,0.00246857,0.2662924],"category_scores_gemma":[0.008304831,0.0009503723,0.00140485,0.00759706,0.0007078457,0.002283618,0.003031404,0.001760688,0.2960603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001919342,"about_ca_system_score_gemma":0.002621932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02900781,"about_ca_topic_score_gemma":0.04365993,"domain_scores_codex":[0.998862,0.0001966629,0.000111745,0.0003616863,0.0002165457,0.0002513508],"domain_scores_gemma":[0.9970594,0.0007792088,0.0003125821,0.0007266365,0.0007415061,0.0003805969],"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":[0.00003481428,0.000004894368,0.0002467115,0.0003510024,0.00001504415,0.000005795235,0.000009159401,0.00009216158,0.00003512403,0.0003048241,0.9982079,0.000692547],"study_design_scores_gemma":[0.0002577279,0.0000183928,0.002129984,0.0003381293,0.00002997036,0.00003007369,0.00006319768,0.0002530881,0.00023563,0.00152862,0.9950806,0.0000344745],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003099145,0.00003919252,0.00002128169,0.00006253774,0.00002357323,0.000002883212,0.9990749,0.0002819145,0.0004626449],"genre_scores_gemma":[0.0003087801,0.00005887564,0.0001047883,0.00008643659,0.00001680563,0.00003383831,0.998257,0.0001665575,0.0009669386],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7337077,"threshold_uncertainty_score":0.8908367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02345607614246401,"score_gpt":0.2508703836967564,"score_spread":0.2274143075542924,"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."}}