{"id":"W7069476526","doi":"","title":"McLuhan’s galaxy","year":2011,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Galaxy; Focus (optics); Staring; Mode (computer interface); Feature (linguistics)","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":[],"consensus_categories":[],"category_scores_codex":[0.0007731712,0.0005861282,0.0003568585,0.00180092,0.00806415,0.006498971,0.0009734817,0.002439025,0.08433167],"category_scores_gemma":[0.003415859,0.0002467619,0.0003660153,0.001512557,0.003689746,0.003145746,0.003117173,0.003286964,0.02945695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01012557,"about_ca_system_score_gemma":0.005242794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1274357,"about_ca_topic_score_gemma":0.2084801,"domain_scores_codex":[0.998955,0.0002167785,0.00001908136,0.0002191887,0.0003971327,0.0001928167],"domain_scores_gemma":[0.9992743,0.0001098007,0.00003818323,0.0001079682,0.0001967384,0.0002729198],"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":[0.00002398067,0.000008173997,0.0001985861,0.00003105473,0.00000402637,0.00007866844,0.001014876,0.00004068561,0.00008480653,0.3213434,0.6418884,0.03528338],"study_design_scores_gemma":[0.000001447733,0.000001939307,0.00008318241,0.00001615696,5.491461e-7,0.00003588559,0.0001234703,0.00001730762,0.00002877414,0.007006926,0.9926812,0.000003192995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00169872,0.01123105,0.002390672,0.05366306,0.004056511,0.00003180702,0.0004747807,0.0007087461,0.9257446],"genre_scores_gemma":[0.03720988,0.00506412,0.0036391,0.01562566,0.001464073,0.00003805721,0.0003390155,0.0006194736,0.9360006],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1274357,"threshold_uncertainty_score":0.2821175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.200112124884079,"score_gpt":0.5250586202335529,"score_spread":0.3249464953494738,"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."}}