{"id":"W2982229868","doi":"10.4095/215950","title":"Second vertical derivative of the magnetic field, 22 H/01 - Petit-Cap, Quebec","year":2004,"lang":"en","type":"report","venue":"","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Derivative (finance); Magnetic field; Field (mathematics); Geodesy; Physics; Geography; Mathematics; Business; Pure mathematics; Quantum mechanics","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":[0.0004350118,0.000582882,0.0003654368,0.001559821,0.0009789197,0.0008592231,0.0008964728,0.0003378603,0.018524],"category_scores_gemma":[0.001411289,0.0002157765,0.0002396158,0.001844805,0.0002884763,0.0003417041,0.0002698813,0.0006755322,0.001971531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009376353,"about_ca_system_score_gemma":0.009546153,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9691666,"about_ca_topic_score_gemma":0.9786229,"domain_scores_codex":[0.9995215,0.00003576828,0.000008681436,0.00007428329,0.0002673641,0.0000924124],"domain_scores_gemma":[0.998726,0.000121479,0.00005925267,0.000090883,0.0009124901,0.00008991057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0009157645,0.000265029,0.1587372,0.0004563586,0.0002041293,0.0007550106,0.0006292457,0.035123,0.0130328,0.02428458,0.5395674,0.2260294],"study_design_scores_gemma":[0.000100842,0.00007073294,0.7047534,0.00006098526,0.0000361599,0.0002039081,0.0002929244,0.04502527,0.01493573,0.001363383,0.233072,0.00008469323],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3087108,0.002985904,0.0182621,0.002419946,0.0006481659,0.0003207369,0.3668776,0.001857016,0.2979177],"genre_scores_gemma":[0.580901,0.001242643,0.0108772,0.0001020322,0.00009846191,0.00009607268,0.07256375,0.0004875211,0.3336313],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03083336,"threshold_uncertainty_score":0.06803048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01412346018822307,"score_gpt":0.2205958489557282,"score_spread":0.2064723887675051,"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."}}