{"id":"W4394111273","doi":"10.6084/m9.figshare.21440952.v1","title":"Atollgen pipeline outputs","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Pipeline (software); Computer science; Programming language","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001808149,0.00240495,0.001449837,0.004331747,0.001370203,0.003511472,0.003346549,0.00221607,0.1466429],"category_scores_gemma":[0.007953939,0.0009456358,0.002011062,0.005823898,0.0004775203,0.001962846,0.002713528,0.002083207,0.2096726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00167916,"about_ca_system_score_gemma":0.002508098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01466424,"about_ca_topic_score_gemma":0.02788461,"domain_scores_codex":[0.9982564,0.0002900085,0.0001573016,0.0006254006,0.0004503015,0.0002205995],"domain_scores_gemma":[0.9967737,0.001109769,0.00018969,0.0008792549,0.000843338,0.0002044108],"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":[0.00006003388,0.00001234594,0.0004528254,0.0004145875,0.00002026388,0.00001938114,0.00003222487,0.0003256333,0.0002001509,0.000591978,0.9954193,0.002451362],"study_design_scores_gemma":[0.00009360164,0.00001221543,0.001570385,0.0001586197,0.00002501948,0.00003832654,0.00009228133,0.0004545449,0.0005576163,0.001828924,0.9951348,0.0000337363],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001125733,0.00004266945,0.0002159787,0.00006914386,0.00002868365,0.00001535091,0.9963937,0.001596131,0.001525756],"genre_scores_gemma":[0.0003381485,0.00003349852,0.0008438514,0.00005528484,0.000006032686,0.000100156,0.9971688,0.0005428781,0.0009113578],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1466429,"threshold_uncertainty_score":0.4905694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850766497028619,"score_gpt":0.2112254246639265,"score_spread":0.1927177596936403,"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."}}