{"id":"W6926316134","doi":"10.25345/c5w08ws8j","title":"MassIVE MSV000093292 - Lambert_SAINT4723_SAINT4724_BioID_Fusion_P134_VS12","year":2023,"lang":"en","type":"dataset","venue":"UC San Diego","topic":"Construction Engineering and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Identification (biology); Process (computing); Work (physics); Set (abstract data type)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001668149,0.0006527291,0.0006081436,0.0005045276,0.000120098,0.0000739735,0.0005146237,0.000638042,0.002454861],"category_scores_gemma":[0.0001076957,0.000678659,0.000277405,0.0005731569,0.00008588716,0.0000707098,0.0001807004,0.0009613171,0.01214516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001463965,"about_ca_system_score_gemma":0.00004906127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001287315,"about_ca_topic_score_gemma":0.0003643257,"domain_scores_codex":[0.9978371,0.00003485249,0.0005594128,0.0005004063,0.0004044928,0.0006637075],"domain_scores_gemma":[0.9984345,0.0001733052,0.00007758861,0.0009921177,0.00006155256,0.0002609121],"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":[0.000005031835,0.00001230193,0.000002164411,0.000251136,0.0002007408,0.0001228358,0.00001477018,0.006016185,0.00002800769,0.00003360325,0.9904953,0.002817871],"study_design_scores_gemma":[0.0002481309,0.00002177081,0.0001002357,0.0001488828,0.0001168188,0.0000321699,0.00004084139,0.00222946,0.00003866491,0.00007399796,0.9961953,0.0007536887],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004402644,0.0006236876,0.0001874514,0.00005705899,0.006678282,0.0002458435,0.9886771,0.002116005,0.001370486],"genre_scores_gemma":[0.0001191838,0.001234729,0.0001990493,0.00007949573,0.0009716064,0.0000799047,0.9955037,0.0001744839,0.001637851],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.009690301,"threshold_uncertainty_score":0.9995664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007502974264852285,"score_gpt":0.2069335446076031,"score_spread":0.1994305703427509,"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."}}