{"id":"W4398814806","doi":"10.7910/dvn/tlahpx/bcz6fo","title":"ddAle_Ott_20160229_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":[0.001157914,0.003280963,0.002246294,0.005050527,0.00126337,0.004532896,0.003926063,0.003174752,0.3250137],"category_scores_gemma":[0.008479352,0.001076624,0.001562413,0.007484576,0.0008214974,0.002612833,0.003173746,0.001994901,0.4010421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0023049,"about_ca_system_score_gemma":0.002675809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03779332,"about_ca_topic_score_gemma":0.05446818,"domain_scores_codex":[0.9988141,0.0001895759,0.00009755424,0.0004083077,0.0002270645,0.0002634326],"domain_scores_gemma":[0.9972166,0.0007666218,0.0002591538,0.0006948212,0.0006971934,0.0003656324],"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":[0.00002913192,0.00000494344,0.0001632493,0.0002982665,0.00001263968,0.000006098166,0.000008705697,0.00009362379,0.00003434866,0.000261675,0.9984202,0.00066704],"study_design_scores_gemma":[0.0002297712,0.00001721507,0.001467583,0.0003282544,0.00002576202,0.00003303882,0.00005440355,0.0002851232,0.0002432879,0.001710513,0.9955688,0.0000362562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002828031,0.00005110082,0.00002486585,0.00006854774,0.00002769384,0.000002892511,0.9988403,0.0003775447,0.0005788233],"genre_scores_gemma":[0.0002599744,0.0000627765,0.000115627,0.0000841517,0.00001764457,0.00003146301,0.9981053,0.0002103476,0.001112757],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6749864,"threshold_uncertainty_score":0.9627861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02446260226038347,"score_gpt":0.249644383181735,"score_spread":0.2251817809213515,"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."}}