{"id":"W2955269493","doi":"10.3897/biss.3.37472","title":"Your Digitisation Project is Funded… Now What?","year":2019,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Workflow; Government (linguistics); Business; Agriculture; Library science; World Wide Web; Computer science; Geography; Database; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01845068,0.0007676763,0.00108685,0.003499015,0.00657845,0.02536997,0.002434678,0.002653012,0.1626541],"category_scores_gemma":[0.06009572,0.0008748615,0.0006892292,0.005665243,0.003774764,0.01201531,0.007629599,0.006240957,0.1266536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01084079,"about_ca_system_score_gemma":0.03873385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0721003,"about_ca_topic_score_gemma":0.06482778,"domain_scores_codex":[0.9847839,0.00247694,0.0005849616,0.001208948,0.008858655,0.002086518],"domain_scores_gemma":[0.9143173,0.003677684,0.002668952,0.01538737,0.04579578,0.01815285],"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":[0.00003765751,0.00002554784,0.001160802,0.0001315329,0.00001253763,0.00006235781,0.0005213537,0.00004811089,0.00028943,0.0110973,0.8914287,0.09518477],"study_design_scores_gemma":[0.000005226558,0.000005665222,0.000806974,0.0001058104,0.00000311808,0.00004369397,0.0004828842,0.00002311577,0.0001660801,0.001095679,0.9972478,0.00001402132],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.006082878,0.004452937,0.02156248,0.2584746,0.03946115,0.001409431,0.02752621,0.00981658,0.6312138],"genre_scores_gemma":[0.05945939,0.01098277,0.06600234,0.03547466,0.004541281,0.002304133,0.04643073,0.01188943,0.7629152],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.1626541,"threshold_uncertainty_score":0.5441321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02950185988394387,"score_gpt":0.2626219161245842,"score_spread":0.2331200562406403,"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."}}