{"id":"W6977608386","doi":"10.7910/dvn/iz3vau/7sul5w","title":"B6.1.webm","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Process (computing); Product (mathematics); Work (physics); Identification (biology)","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":[0.001181528,0.001927507,0.00119648,0.004472577,0.0009504188,0.0030546,0.002516299,0.00194228,0.2805177],"category_scores_gemma":[0.008300927,0.0007321862,0.001425632,0.006944795,0.0004747187,0.00191148,0.002393447,0.001913121,0.3256109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001160925,"about_ca_system_score_gemma":0.001953291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03208233,"about_ca_topic_score_gemma":0.06552917,"domain_scores_codex":[0.9989593,0.0001662293,0.0001082734,0.0002622956,0.0002417397,0.0002621868],"domain_scores_gemma":[0.9967408,0.0008137286,0.0002643858,0.0008212816,0.0009481663,0.0004117313],"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":[0.00002491248,0.000008123202,0.0003037463,0.0002458694,0.000007438668,0.000004875741,0.00001499513,0.00007024052,0.00003753202,0.0002526531,0.9982516,0.0007781073],"study_design_scores_gemma":[0.0001845229,0.00001779215,0.003648207,0.0002931664,0.00001771802,0.00002762823,0.0001407701,0.0002953023,0.0002481275,0.001419709,0.9936784,0.00002869801],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003748605,0.00001435522,0.00002952188,0.00003856384,0.00001691707,0.000006485196,0.998806,0.0003710343,0.0006796937],"genre_scores_gemma":[0.0002958292,0.00002486338,0.0002091191,0.00004961835,0.00001052438,0.00005910707,0.9980757,0.0001860435,0.001089122],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7194823,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0246111150101379,"score_gpt":0.2549237354352963,"score_spread":0.2303126204251584,"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."}}