{"id":"W2793709127","doi":"10.4095/286023","title":"Séries des cartes géophysiques, levé magnétique aéroporté de la région de la Baie d'Ungava, Québec, SNRC 24 K/03","year":2010,"lang":"fr","type":"report","venue":"","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Humanities; Geography; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006232983,0.0008848546,0.0006987117,0.004772588,0.001529175,0.001550108,0.0009509664,0.0004182898,0.02200681],"category_scores_gemma":[0.00136046,0.0004183723,0.0005472015,0.006549748,0.0004972803,0.0006519365,0.0004308203,0.0006510529,0.003412683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01533493,"about_ca_system_score_gemma":0.02379487,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9896444,"about_ca_topic_score_gemma":0.994238,"domain_scores_codex":[0.9995207,0.00002858233,0.0000172333,0.00009041789,0.0002657659,0.00007737046],"domain_scores_gemma":[0.9986551,0.0001365065,0.0001044525,0.0001372678,0.0007980117,0.0001687827],"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":[0.0005919207,0.0002298368,0.1490009,0.0007011621,0.0004013118,0.0005340864,0.001783883,0.0162796,0.009305066,0.007080109,0.5667395,0.2473526],"study_design_scores_gemma":[0.00009442177,0.00003170019,0.642594,0.00008590396,0.00004157445,0.0001396114,0.0006973072,0.008405847,0.003145727,0.0004388828,0.3442716,0.00005337501],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.1480413,0.003806098,0.009066315,0.00191166,0.0003414417,0.0005776528,0.7448552,0.002559474,0.08884097],"genre_scores_gemma":[0.3384399,0.003121131,0.03309551,0.0002615298,0.0001598806,0.0007088569,0.2376438,0.0008075941,0.3857618],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02200681,"threshold_uncertainty_score":0.1112632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02638882416688513,"score_gpt":0.2480882948329345,"score_spread":0.2216994706660494,"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."}}