{"id":"W1549156700","doi":"","title":"A method to facilitate automatic learning-object assembly","year":2007,"lang":"en","type":"article","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Artificial intelligence; Object (grammar); Computer vision","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0007126049,0.001126121,0.0008941171,0.00117028,0.0008569191,0.001094492,0.002148665,0.001443632,0.01169387],"category_scores_gemma":[0.002072766,0.0008444441,0.0009198454,0.0009961126,0.00057224,0.001295928,0.001702382,0.00143848,0.004999459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004120049,"about_ca_system_score_gemma":0.0009729401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002812934,"about_ca_topic_score_gemma":0.005233052,"domain_scores_codex":[0.9993907,0.00007904939,0.00003632202,0.0001780592,0.0002705696,0.00004528352],"domain_scores_gemma":[0.9991565,0.0002955702,0.00005156683,0.0002127401,0.0002428493,0.00004081505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002217747,0.0001550459,0.0004479998,0.0001804471,0.00006268295,0.0001397754,0.00009501207,0.03323749,0.04964439,0.01249273,0.009848564,0.893474],"study_design_scores_gemma":[0.00006052591,0.00008198578,0.0003947974,0.00002063611,0.00002961387,0.0002769449,0.00002635918,0.8867755,0.07590801,0.01053911,0.02585175,0.00003476758],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001510361,0.00003822457,0.9941202,0.00002826271,0.00003458526,0.00002575293,0.00004345553,0.003413705,0.000785358],"genre_scores_gemma":[0.03702587,0.00006675636,0.9558324,0.00005682096,0.00003021206,0.0001032019,0.0002926222,0.0005049813,0.006087126],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01169387,"threshold_uncertainty_score":0.0391199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02007221450523325,"score_gpt":0.2595902052907251,"score_spread":0.2395179907854918,"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."}}