{"id":"W2923300445","doi":"10.31235/osf.io/dqemj","title":"Determining Textbook Cost, Formats, and Licensing with Google Books API: A Case Study from an Open Textbook Project","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public domain; Irish; Computer science; World Wide Web; Institution; Domain (mathematical analysis); Code (set theory); Library science; Political science; History; Set (abstract data type)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.004807425,0.0005142145,0.0006106959,0.00464724,0.00104952,0.002178528,0.001763047,0.001369081,0.002343444],"category_scores_gemma":[0.02124795,0.0004720206,0.0005348226,0.01288939,0.001008965,0.003216212,0.002086062,0.001623837,0.001678475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002158019,"about_ca_system_score_gemma":0.00150852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02825868,"about_ca_topic_score_gemma":0.03883553,"domain_scores_codex":[0.9953216,0.001254624,0.0004296621,0.000688438,0.001985463,0.0003202395],"domain_scores_gemma":[0.9766082,0.01343206,0.002481191,0.002746216,0.003624152,0.001108222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007798774,0.00352451,0.7188493,0.001414304,0.0002098185,0.009532609,0.01754522,0.01734217,0.005632489,0.009844591,0.05786302,0.1574621],"study_design_scores_gemma":[0.0001475368,0.0005016745,0.7672951,0.0003185962,0.0001665099,0.004358984,0.02513343,0.05554086,0.0126636,0.005397155,0.1282017,0.0002749715],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710113,0.0001833766,0.00525793,0.000653306,0.00001771406,0.0001750139,0.01592934,0.0004916635,0.006280187],"genre_scores_gemma":[0.89634,0.0004474234,0.03628222,0.0002313507,0.00003121695,0.0003443514,0.05822995,0.0008093752,0.007284204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.998237,"threshold_uncertainty_score":0.0561884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06876076026865037,"score_gpt":0.3543222464253434,"score_spread":0.2855614861566931,"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."}}