{"id":"W4398865764","doi":"10.7910/dvn/qkcpxu/iwc4hy","title":"Infiltration_KIPI.xls","year":2015,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"MaRS","funders":"","keywords":"Infiltration (HVAC); Materials science; Composite material","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":[0.0007905351,0.002382953,0.001222187,0.003439983,0.000487436,0.002153618,0.002323438,0.001934692,0.1196891],"category_scores_gemma":[0.004389728,0.001062793,0.00124838,0.00591729,0.0004138002,0.001589763,0.001969512,0.001538845,0.1296132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001398221,"about_ca_system_score_gemma":0.002159078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0331655,"about_ca_topic_score_gemma":0.0477443,"domain_scores_codex":[0.9991546,0.00008501,0.0001108404,0.000231574,0.0002449749,0.0001729464],"domain_scores_gemma":[0.9984832,0.0003558709,0.0001891,0.0003923088,0.0004261557,0.0001533514],"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":[0.00003316715,0.00001702223,0.0008820518,0.0004091274,0.00002661985,0.00001454906,0.00001993058,0.0005527696,0.0001054183,0.0004148612,0.9958954,0.001628989],"study_design_scores_gemma":[0.0002962346,0.00001611564,0.005432501,0.0002335577,0.00003298097,0.00004218595,0.00007392471,0.001118009,0.0005608815,0.001531512,0.9906204,0.00004167873],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008206043,0.00001611234,0.00005101871,0.00002646497,0.00001036979,0.000005395038,0.9987036,0.0006662669,0.0004386892],"genre_scores_gemma":[0.0005166608,0.00003014733,0.0001820464,0.00003124553,0.000005706859,0.00003913365,0.9984785,0.0001867836,0.0005298664],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8803109,"threshold_uncertainty_score":0.4003999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01676219880153439,"score_gpt":0.2208705148876537,"score_spread":0.2041083160861193,"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."}}