{"id":"W2595840173","doi":"10.29173/slw6916","title":"Where are we going? Where have we been?","year":2016,"lang":"en","type":"article","venue":"School Libraries Worldwide","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics education; Psychology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"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":[0.0001982461,0.000387587,0.0003615535,0.0005053974,0.000370773,0.0006518279,0.001942843,0.0002394484,0.001263787],"category_scores_gemma":[0.0002246287,0.0002927201,0.0001219375,0.0008424991,0.0003271571,0.005523259,0.0009199307,0.0006411161,0.002732588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001786747,"about_ca_system_score_gemma":0.0002036869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009819643,"about_ca_topic_score_gemma":0.0002626298,"domain_scores_codex":[0.9974245,0.0001391046,0.0005227216,0.0008428306,0.0003878055,0.0006829674],"domain_scores_gemma":[0.9975427,0.0003101917,0.0004108767,0.001375168,0.0002025186,0.0001584902],"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":[0.00005336701,0.00007239637,0.04416987,0.00006615411,0.00009946983,0.0001145263,0.0003798694,0.000002219562,0.003309805,0.388884,0.524972,0.03787628],"study_design_scores_gemma":[0.0007681206,0.000118252,0.005986501,0.001230192,0.00001039296,0.00004983511,0.0003644422,0.000172592,0.02432372,0.1213047,0.8450302,0.0006410187],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01058642,0.008705979,0.3066929,0.6047356,0.00444525,0.0009748781,0.0000517139,0.004863355,0.05894395],"genre_scores_gemma":[0.6701446,0.002173083,0.09462541,0.004869127,0.001520243,0.0003198945,0.000009392582,0.0002099469,0.2261283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6595582,"threshold_uncertainty_score":0.9999525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881698135846369,"score_gpt":0.2507567057596241,"score_spread":0.2319397244011604,"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."}}