{"id":"W7037415594","doi":"","title":"Divest Mc Gill Final Version","year":2014,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Innovative Educational Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Divestment; Work (physics); Key (lock)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002132847,0.0004607067,0.0004136096,0.001743665,0.001718409,0.003941094,0.001215642,0.001765026,0.6998929],"category_scores_gemma":[0.0138526,0.000469834,0.000290134,0.001974636,0.0005746199,0.002403858,0.001868394,0.001785612,0.3898034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001750023,"about_ca_system_score_gemma":0.002661361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01808305,"about_ca_topic_score_gemma":0.03064108,"domain_scores_codex":[0.9988708,0.0002247988,0.00006681994,0.0001196397,0.0005767168,0.0001412956],"domain_scores_gemma":[0.9898768,0.001645328,0.0001289693,0.0006486265,0.007107282,0.0005929616],"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":[0.000007066649,0.000003919411,0.00002463198,0.00002799371,4.186222e-7,0.00001106844,0.00009066686,0.000008550686,0.0000297477,0.0005625568,0.992016,0.007217413],"study_design_scores_gemma":[0.000008829564,0.000005045338,0.0007835267,0.0001088795,0.000001005359,0.00001888115,0.0002958564,0.00001766628,0.00004781113,0.0004269928,0.9982806,0.000004970895],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001444838,0.0009443429,0.001624298,0.02431182,0.01669658,0.0007422571,0.03893102,0.001803868,0.913501],"genre_scores_gemma":[0.003662587,0.0004554506,0.0005695033,0.001849522,0.0005114839,0.000450966,0.007237633,0.0004910664,0.9847718],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3001071,"threshold_uncertainty_score":0.4280663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009737669376181039,"score_gpt":0.1986549532355208,"score_spread":0.1889172838593398,"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."}}