{"id":"W6968975865","doi":"10.5281/zenodo.6142808","title":"Getting Started on Git/GitHub","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Presentation (obstetrics); Key (lock); Data collection; Work (physics); Focus (optics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001711391,0.004566354,0.003748838,0.003935349,0.00122091,0.006715501,0.003398912,0.002680924,0.8585775],"category_scores_gemma":[0.006027706,0.001982076,0.003273027,0.004510172,0.0006144251,0.005772504,0.006909231,0.004278999,0.9242519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001120196,"about_ca_system_score_gemma":0.001110915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005212628,"about_ca_topic_score_gemma":0.006574204,"domain_scores_codex":[0.9991432,0.00007992816,0.00006153346,0.0001845331,0.0003268924,0.0002037247],"domain_scores_gemma":[0.9946806,0.0003887359,0.000126248,0.00128206,0.001922518,0.001599821],"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":[0.0001005335,0.00002785268,0.0000520937,0.0001728081,0.00001240071,0.00004922344,0.00002208674,0.00008678868,0.0005003447,0.0002382072,0.9807979,0.01793961],"study_design_scores_gemma":[0.0001584503,0.00006517179,0.001013968,0.0001740737,0.00002504665,0.00009369392,0.00004943174,0.0004317512,0.0009632938,0.002132243,0.9948285,0.0000642899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"other","genre_scores_codex":[0.001225419,0.001734069,0.03056022,0.00290231,0.004282776,0.001641445,0.169091,0.5161671,0.2723957],"genre_scores_gemma":[0.005239177,0.001465668,0.01800075,0.002502749,0.001611576,0.001450155,0.2685993,0.2331629,0.4679677],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8585775,"threshold_uncertainty_score":0.201722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1636282666785028,"score_gpt":0.3351138764347457,"score_spread":0.1714856097562429,"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."}}