{"id":"W4394205988","doi":"10.6084/m9.figshare.703551","title":"Données climatologiques 2002-2012 station Sainte-Martine (Québec, Canada)","year":2013,"lang":"fr","type":"dataset","venue":"Figshare","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography","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":[0.0008953336,0.002618145,0.001995428,0.006296152,0.001621619,0.002561023,0.003185444,0.001696603,0.0729824],"category_scores_gemma":[0.007550745,0.001074024,0.001601391,0.01933629,0.0004803863,0.001163268,0.001078373,0.001711839,0.04503781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01395832,"about_ca_system_score_gemma":0.02222149,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9589862,"about_ca_topic_score_gemma":0.9742175,"domain_scores_codex":[0.9988097,0.00008620661,0.0001507739,0.0002949437,0.0003913254,0.0002670922],"domain_scores_gemma":[0.9943898,0.0006687964,0.0003139784,0.0005902579,0.003688436,0.0003486599],"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":[0.0000352826,0.000008185862,0.001995628,0.0005315605,0.00005153655,0.00001620023,0.00002414564,0.000397871,0.00006090167,0.0001753353,0.9948732,0.001830011],"study_design_scores_gemma":[0.0002945084,0.000009979636,0.05002069,0.0009367151,0.0001151959,0.00004829315,0.0001889108,0.001088439,0.0004248627,0.0006401407,0.9461332,0.0000990674],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006342067,0.00005752026,0.00001709109,0.00002186227,0.00000696467,0.000003791427,0.9994844,0.00007379186,0.0002711602],"genre_scores_gemma":[0.0005814324,0.000110265,0.0001093319,0.00001781975,0.000004159865,0.00003145008,0.9983231,0.00003527869,0.0007870637],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0729824,"threshold_uncertainty_score":0.2441505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02188235491409172,"score_gpt":0.2182809039391974,"score_spread":0.1963985490251057,"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."}}