{"id":"W4398717746","doi":"10.7910/dvn/db11yd/9wzb2k","title":"paternitylv_20Dec2018.tab","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Environmental 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":[0.001155895,0.003289272,0.002029654,0.004822414,0.001261428,0.004149468,0.004429697,0.003308304,0.2299796],"category_scores_gemma":[0.006976473,0.001222596,0.001729485,0.008182734,0.0007805047,0.002616001,0.00296462,0.002470582,0.2754242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00190589,"about_ca_system_score_gemma":0.002599365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02769033,"about_ca_topic_score_gemma":0.0434895,"domain_scores_codex":[0.9988945,0.0001831856,0.0001140492,0.0003579946,0.0002073622,0.0002428942],"domain_scores_gemma":[0.9974255,0.000788847,0.000216954,0.0007354434,0.0004965633,0.0003366824],"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":[0.00002877119,0.000009657823,0.0002252621,0.0003382473,0.00001523667,0.00001047698,0.00001368457,0.0001062187,0.00004516745,0.0003143098,0.998158,0.0007350422],"study_design_scores_gemma":[0.0002726805,0.00001868464,0.00186403,0.0003353938,0.00002866104,0.00005898333,0.00006990216,0.0004035995,0.0003162313,0.001582189,0.9950122,0.00003740687],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004980668,0.00004499861,0.00003190179,0.00006951008,0.00002567038,0.000004456141,0.9987026,0.0004559715,0.0006150375],"genre_scores_gemma":[0.0002525847,0.00005414066,0.0001324749,0.00006916682,0.00001035269,0.00003460326,0.9985019,0.0001807981,0.0007638957],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7700204,"threshold_uncertainty_score":0.7693586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03063235548881628,"score_gpt":0.2669282857888409,"score_spread":0.2362959303000246,"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."}}