{"id":"W2191886557","doi":"10.46430/phen0046","title":"Getting Started with Markdown","year":2015,"lang":"en","type":"article","venue":"The Programming Historian","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Disk formatting; Syntax; Computer science; Artificial intelligence; Operating system","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":[0.005123882,0.001991399,0.001024858,0.001765438,0.001814901,0.007773152,0.00308022,0.0024117,0.1425479],"category_scores_gemma":[0.03603167,0.001232596,0.001516662,0.001918837,0.001967649,0.01668835,0.006043511,0.008180138,0.1346503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001160115,"about_ca_system_score_gemma":0.001750843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001053409,"about_ca_topic_score_gemma":0.001212457,"domain_scores_codex":[0.9948478,0.001211339,0.0004074718,0.000737832,0.002448397,0.0003471677],"domain_scores_gemma":[0.9821872,0.005241903,0.0006710769,0.00423984,0.006517716,0.001142357],"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":[0.0001891628,0.00007457759,0.0004082301,0.0005107186,0.000019323,0.0003030299,0.002241502,0.0003779466,0.005758165,0.05664803,0.6982212,0.2352481],"study_design_scores_gemma":[0.00001375228,0.00002579339,0.0001011085,0.0001646052,0.000008634629,0.0002259125,0.000219263,0.0003579738,0.004983001,0.01998272,0.9738801,0.00003703912],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002615601,0.002180575,0.6855721,0.02034395,0.01056095,0.0005308834,0.003675802,0.122312,0.1522081],"genre_scores_gemma":[0.02954435,0.004104222,0.5462361,0.01722334,0.003545711,0.0009347394,0.007906954,0.09754417,0.2929605],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1425479,"threshold_uncertainty_score":0.4768701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02456512439659354,"score_gpt":0.223258040991486,"score_spread":0.1986929165948924,"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."}}