{"id":"W4398985264","doi":"10.7910/dvn/tlahpx/fkjefy","title":"ddAle_Ott_20170129_05382000.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":[],"category_scores_codex":[0.001346024,0.003107543,0.002162694,0.005145114,0.001222656,0.004353845,0.003831783,0.003088618,0.2859361],"category_scores_gemma":[0.009269612,0.001023919,0.001573744,0.007205386,0.000804189,0.002515487,0.003150614,0.00197,0.3522461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002256588,"about_ca_system_score_gemma":0.002658239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03696709,"about_ca_topic_score_gemma":0.0540829,"domain_scores_codex":[0.9987166,0.0002226308,0.0001059808,0.0004291871,0.0002454241,0.0002802907],"domain_scores_gemma":[0.9970008,0.0008294053,0.0002877053,0.0007758708,0.0007208204,0.0003853328],"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":[0.00002991224,0.000005126099,0.0001797739,0.0002762266,0.00001365488,0.000006026696,0.000008030648,0.00009677721,0.00003072546,0.000272647,0.9983918,0.0006894294],"study_design_scores_gemma":[0.0002511051,0.00001791425,0.001666466,0.0003367507,0.00002760414,0.000035601,0.0000573559,0.0003282323,0.0002272883,0.001819995,0.9951943,0.00003745487],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003128361,0.00005374205,0.00002725195,0.0000785825,0.0000299845,0.00000318674,0.9988508,0.0003838559,0.0005412882],"genre_scores_gemma":[0.0002758736,0.00006325312,0.0001259058,0.00008961149,0.00002053158,0.00003421716,0.9981539,0.0002002658,0.00103651],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7140639,"threshold_uncertainty_score":0.9565516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02589519937251204,"score_gpt":0.2545366850633192,"score_spread":0.2286414856908071,"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."}}