{"id":"W6962001686","doi":"10.15454/5jhumf/whpojk","title":"DataOFFSP.tab","year":2020,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cape Breton University","funders":"","keywords":"Offspring; Identification (biology); Population; Selection (genetic algorithm)","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":[0.001248196,0.002760922,0.001592015,0.003622542,0.000867632,0.002443768,0.00255491,0.00271788,0.204829],"category_scores_gemma":[0.007154011,0.0009999827,0.001165461,0.006017677,0.0004089076,0.001321585,0.001694629,0.001795874,0.1726969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001829356,"about_ca_system_score_gemma":0.002411636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03106689,"about_ca_topic_score_gemma":0.0370127,"domain_scores_codex":[0.9990786,0.0001456712,0.00009426791,0.000329011,0.0001973421,0.0001550233],"domain_scores_gemma":[0.9963979,0.001378765,0.0003117946,0.0008814626,0.0007258671,0.0003042871],"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":[0.00008318785,0.00002518485,0.001049471,0.0005273867,0.00002954241,0.00003540271,0.00002346388,0.0002829546,0.0001451375,0.0006529144,0.9949564,0.002188966],"study_design_scores_gemma":[0.000330422,0.00002337623,0.005660553,0.0002773742,0.00003152438,0.00008715723,0.00005821914,0.0002478341,0.0003411125,0.001661847,0.9912483,0.00003226076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000065676,0.0000189049,0.00003999709,0.00002629024,0.000009416102,0.000004077552,0.9991549,0.0002212371,0.0004594587],"genre_scores_gemma":[0.0003633821,0.00003269516,0.000192871,0.00004731243,0.000005245974,0.00003379771,0.9985104,0.0001307537,0.0006834618],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.795171,"threshold_uncertainty_score":0.6852211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5520246199762795,"score_gpt":0.4546251886058354,"score_spread":0.0973994313704441,"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."}}