{"id":"W4416612538","doi":"10.5256/f1000research.19363.r43417","title":"Referee report. For: Open laboratory notebooks: good for science, good for society, good for scientists [version 1; referees: 1 approved with reservations]","year":2019,"lang":"en","type":"article","venue":"Faculty of 1000 Research Ltd","topic":"Academic Writing and Publishing","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"European Federation of Pharmaceutical Industries and Associations; University of Toronto; Genome Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo; Ontario Genomics; Ontario Ministry of Research, Innovation and Science; International Seafood Sustainability Foundation; Wellcome Trust; Novartis Pharma; Ontario Genomics Institute; Merck KGaA; Pfizer","keywords":"Good laboratory practice; Work (physics); Good practice","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01528137,0.0002490884,0.0004693358,0.0003295648,0.002802134,0.001695315,0.002149271,0.0002142769,0.000088949],"category_scores_gemma":[0.003297355,0.0002008357,0.0002196657,0.0004030963,0.001091957,0.002052733,0.0005970281,0.0004663394,0.00001198935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002996713,"about_ca_system_score_gemma":0.001879419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005510495,"about_ca_topic_score_gemma":0.001011583,"domain_scores_codex":[0.9955425,0.00008794827,0.000646674,0.001006221,0.001593363,0.001123292],"domain_scores_gemma":[0.9869997,0.001512474,0.0004413885,0.0007786638,0.01004569,0.000222089],"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":[0.000691476,0.0001798019,0.0005921122,0.00120216,0.0001018463,5.666479e-7,0.006009526,0.000007904606,0.004970728,0.2738182,0.711621,0.0008046152],"study_design_scores_gemma":[0.002793097,0.001148589,0.0001161407,0.0004675892,0.00003279228,0.000001937458,0.01272244,0.0008818448,0.0032982,0.004758351,0.973469,0.0003100564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3734525,0.0006236719,0.01074259,0.1002164,0.002467311,0.05593614,0.07514986,0.0007231701,0.3806884],"genre_scores_gemma":[0.2493091,0.0000158153,0.04443146,0.0004200497,0.001598835,0.003373584,0.005927681,0.000180868,0.6947426],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3140542,"threshold_uncertainty_score":0.999341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1132880471294826,"score_gpt":0.3797707041365423,"score_spread":0.2664826570070598,"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."}}