{"id":"W4388895051","doi":"10.4095/332300","title":"2023 Science Laboratories Network, PaleoLab Workshop Report, SC-Calgary, March 14-16, 2023","year":2023,"lang":"en","type":"report","venue":"","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Environmental science; Library science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","bibliometrics","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["metaresearch","open_science","insufficient_payload"],"category_scores_codex":[0.1024349,0.0009430647,0.001627725,0.002667254,0.001918203,0.007843751,0.008772342,0.0005505283,0.004514894],"category_scores_gemma":[0.0721913,0.0007168657,0.0005088344,0.03178978,0.002054075,0.001033629,0.01028054,0.001331055,0.01206341],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008034607,"about_ca_system_score_gemma":0.007826796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001468834,"about_ca_topic_score_gemma":0.005396022,"domain_scores_codex":[0.9639599,0.0004495242,0.004046754,0.006340659,0.02271924,0.002483966],"domain_scores_gemma":[0.972268,0.005147876,0.002429606,0.01042251,0.008783267,0.0009487709],"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":[0.00001166579,0.00004401878,0.003154143,0.000031507,0.00005860474,0.001158834,0.00003294871,0.0003743542,0.00000196578,0.0007189669,0.9368429,0.05757013],"study_design_scores_gemma":[0.0001599019,0.00003602447,0.007303379,0.0003197257,0.00006503498,0.0001534247,0.0005864311,0.001760804,0.000006026688,0.006764129,0.9819437,0.0009014629],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005947088,0.001873616,0.01569499,0.002586612,0.09403075,0.001334697,0.0003134529,0.00112613,0.882445],"genre_scores_gemma":[0.00174426,0.0006701757,0.003175491,0.000234348,0.003625997,0.00009089393,0.0005916899,0.0001030249,0.9897641],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1073191,"threshold_uncertainty_score":0.9995282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3102899023002354,"score_gpt":0.4656321253021212,"score_spread":0.1553422230018858,"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."}}