{"id":"W4398855363","doi":"10.7910/dvn/tlahpx/0qn3wv","title":"ddAle_Ott_20190927_14364400.mat","year":2020,"lang":"fr","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":["insufficient_payload"],"category_scores_codex":[0.001140018,0.003383688,0.002249133,0.005331267,0.001409828,0.004631925,0.004111577,0.003372507,0.3477665],"category_scores_gemma":[0.008694345,0.001103758,0.00156514,0.007697384,0.000820299,0.00276502,0.003141817,0.002169316,0.4173931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00232133,"about_ca_system_score_gemma":0.002650709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03833494,"about_ca_topic_score_gemma":0.05228947,"domain_scores_codex":[0.998795,0.0001852971,0.00009976258,0.000405937,0.0002425624,0.0002714426],"domain_scores_gemma":[0.9969925,0.0009223881,0.0002381375,0.000739685,0.000744888,0.0003624414],"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":[0.00002840337,0.000005373744,0.00014378,0.0003037266,0.00001134047,0.000005822262,0.000009703868,0.00009395007,0.00003519138,0.0002887798,0.9984086,0.0006652997],"study_design_scores_gemma":[0.000221842,0.00001421223,0.001269302,0.0002878328,0.00002066576,0.000025837,0.00005558854,0.0002789284,0.0002258439,0.001616669,0.995949,0.00003421169],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002534607,0.00004152684,0.00002429077,0.00006360126,0.00002408779,0.000002910702,0.9987153,0.0004479071,0.000655044],"genre_scores_gemma":[0.0002318861,0.00005494824,0.0001302184,0.00007063545,0.00001431355,0.00003196501,0.9982291,0.0002530197,0.0009840226],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6522335,"threshold_uncertainty_score":0.930332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02475288999816006,"score_gpt":0.250246428807126,"score_spread":0.2254935388089659,"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."}}